G-reen commited on
Commit
c5e7d9e
·
verified ·
1 Parent(s): 4810624

Update README and 24 associated file(s)

Browse files
ENC_bertscore.png ADDED

Git LFS Details

  • SHA256: 97634722b254ca6400e27e02fc290a8e51bbf2a7d8d1744f04c73a6d0e3c04de
  • Pointer size: 130 Bytes
  • Size of remote file: 87.1 kB
ENC_bertscore_precision.png ADDED

Git LFS Details

  • SHA256: b96c3dd98aff92ed99ca58ac9098bd5f962fdca33ebe15163fb52bb1a3fd94e2
  • Pointer size: 130 Bytes
  • Size of remote file: 86 kB
ENC_bertscore_recall.png ADDED

Git LFS Details

  • SHA256: ea46cc6c7ada4c5429302c16c92b51b5b7b3dfdb42f005f6b4c74c875dff3d7b
  • Pointer size: 130 Bytes
  • Size of remote file: 86.3 kB
ENC_cosdist.png ADDED

Git LFS Details

  • SHA256: 029190331defde09678e9a030f5eee7d4e6ffdd55c39d3a4d7f360e69f85b7f2
  • Pointer size: 130 Bytes
  • Size of remote file: 86.4 kB
ENC_final_response_editlens_bucket_roberta_large.png ADDED

Git LFS Details

  • SHA256: 04f9edb784384916a7413b041d08ebb58511195712dd0e606dfc69984a6da57d
  • Pointer size: 130 Bytes
  • Size of remote file: 80.4 kB
ENC_final_response_editlens_score_roberta_large.png ADDED

Git LFS Details

  • SHA256: 1645a648fd945788b79b17ef35e10c3acfc3d0821e3617fdfa3ae33545f4a108
  • Pointer size: 130 Bytes
  • Size of remote file: 83 kB
ENC_jaccard_1.png ADDED

Git LFS Details

  • SHA256: eb805e0fde44be0992bd75f18e67b3976add069014aad4e04402b46449eea727
  • Pointer size: 130 Bytes
  • Size of remote file: 82.8 kB
ENC_jaccard_2.png ADDED

Git LFS Details

  • SHA256: 2f557da69082390d8234bdd0166ddaa6387859b6eb405ce174ab163549649d0f
  • Pointer size: 130 Bytes
  • Size of remote file: 80.8 kB
ENC_levenshtein.png ADDED

Git LFS Details

  • SHA256: 531a0c1cbf81ba41f540a8d9c2cacc969beadf29346dbd7625db7fad6b589b7a
  • Pointer size: 130 Bytes
  • Size of remote file: 86.2 kB
ENC_moverscore.png ADDED

Git LFS Details

  • SHA256: f459c3d57afdadd123398e6e16f8f8559e584beffd1bac4a1bc046ea730dccd7
  • Pointer size: 130 Bytes
  • Size of remote file: 82.5 kB
ENC_reranker.png ADDED

Git LFS Details

  • SHA256: d7d2f6c0cd5969a8c2448eaa8e2c01a8055a7b21fd93961d26da012a267c4a60
  • Pointer size: 130 Bytes
  • Size of remote file: 79.1 kB
ENC_softngram.png ADDED

Git LFS Details

  • SHA256: b0e359f9307dbebd1fca94652a95640a827b7c0a367f8a5b6aebb41990f26138
  • Pointer size: 130 Bytes
  • Size of remote file: 80.7 kB
MATRIX_bertscore.png ADDED

Git LFS Details

  • SHA256: 31ea67883c8d2695033568b0248c754ce011fd2ec87566fe925293c14ba9acf2
  • Pointer size: 131 Bytes
  • Size of remote file: 135 kB
MATRIX_bertscore_precision.png ADDED

Git LFS Details

  • SHA256: 9f2b2ddfa6cbc456d7e9ff6da1debc74ee544d5dfcedc8a22d73599b6e9605ec
  • Pointer size: 131 Bytes
  • Size of remote file: 133 kB
MATRIX_bertscore_recall.png ADDED

Git LFS Details

  • SHA256: d247be0dbe33a886ecfc73f7e813b389c2bd2900d470c4d99cb3ff4e030ff4d8
  • Pointer size: 131 Bytes
  • Size of remote file: 133 kB
MATRIX_cosdist.png ADDED

Git LFS Details

  • SHA256: 835f24b3710afd68ceaa1aa5dbc1aa4143426556417efcc5b1449187675ad770
  • Pointer size: 131 Bytes
  • Size of remote file: 142 kB
MATRIX_final_response_editlens_bucket_roberta_large.png ADDED

Git LFS Details

  • SHA256: c79ca1bfb6f2c8902f40c3a0892cfa4bb7e3e51422d3d47657c2e8234da43403
  • Pointer size: 131 Bytes
  • Size of remote file: 131 kB
MATRIX_final_response_editlens_score_roberta_large.png ADDED

Git LFS Details

  • SHA256: 555836efffeab258a7bbea7c5f55651e8ec1255a4b9b30c8d6df53773663ca16
  • Pointer size: 131 Bytes
  • Size of remote file: 139 kB
MATRIX_jaccard_1.png ADDED

Git LFS Details

  • SHA256: fb3e90e3c07fcf94991fe807b45609a189ce0770be435c9c40c622d64af6e1d5
  • Pointer size: 131 Bytes
  • Size of remote file: 140 kB
MATRIX_jaccard_2.png ADDED

Git LFS Details

  • SHA256: 485135c00a82184e9c65ca4d58102aaf3a4abbda1ca73e32a5d8d33bc7a5fee7
  • Pointer size: 131 Bytes
  • Size of remote file: 142 kB
MATRIX_levenshtein.png ADDED

Git LFS Details

  • SHA256: 9a2fb5b79b5e93077f3bee3bcdf9ef9b679cbe336b9f9c407e7e0c1f05cda584
  • Pointer size: 131 Bytes
  • Size of remote file: 163 kB
MATRIX_moverscore.png ADDED

Git LFS Details

  • SHA256: 1c3bc8fd6e742eb7f4e4cb144aa7aa481164a557dbeb6c8f1c2ffb31a3e2fe06
  • Pointer size: 131 Bytes
  • Size of remote file: 139 kB
MATRIX_reranker.png ADDED

Git LFS Details

  • SHA256: 640f6f2671ff74da9b636dde76b4f67f360bc05fad1a3704e988fc06cb3d2d00
  • Pointer size: 131 Bytes
  • Size of remote file: 132 kB
MATRIX_softngram.png ADDED

Git LFS Details

  • SHA256: e8048147e3b68260795804d8918a943ccc282426634c6ff7334a966e2ae51ec2
  • Pointer size: 131 Bytes
  • Size of remote file: 139 kB
README.md CHANGED
@@ -548,6 +548,769 @@ configs:
548
  - split: train
549
  path: shard_6/train-*
550
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
551
 
552
- # WIP encoder/decoder trial
553
- Waiting for statistics to finish generating...
 
548
  - split: train
549
  path: shard_6/train-*
550
  ---
551
+ # Encoder/decoder trial: encoder-marginal report
552
+
553
+ - Dataset: `G-reen/encoder-decoder-trial-stat`
554
+ - Rows analysed: 18,255 (every kept (encoder, decoder, source row) triple; source `G-reen/cc-re-2021-filtered` shard 0, 2000 rows of at most 4000 words)
555
+ - Prompt file: `prompts/indirect_reference_dataset_train.json` (turn 0 encodes the document, turn 1 reconstructs it from the encoding alone)
556
+ - Encoders: 9 (granite-4.2-30b-nvfp4 [0], Ornith-1.5-35B-A3B-NVFP4 [1], Llama-3.3-70B-Instruct-NVFP4 [2], Qwen3.8-27B-AWQ-INT4 [3], Mistral-Small-4-119B-2603-NVFP4 [4], gemma-4-31B-it-AWQ-4bit [5], Laguna-S-2.1-NVFP4 [6], claude-sonnet-5 [8], gpt-5.6-terra [9])
557
+ - Decoders: 7 (granite-4.2-30b-nvfp4 [0], Ornith-1.5-35B-A3B-NVFP4 [1], Llama-3.3-70B-Instruct-NVFP4 [2], Qwen3.8-27B-AWQ-INT4 [3], Mistral-Small-4-119B-2603-NVFP4 [4], gemma-4-31B-it-AWQ-4bit [5], Laguna-S-2.1-NVFP4 [6])
558
+
559
+ Models (trial index: config):
560
+ - 0: `config/gen/train/shard_0.toml`
561
+ - 1: `config/gen/train/shard_1.toml`
562
+ - 2: `config/gen/train/shard_2.toml`
563
+ - 3: `config/gen/train/shard_3.toml`
564
+ - 4: `config/gen/train/shard_4.toml`
565
+ - 5: `config/gen/train/shard_5.toml`
566
+ - 6: `config/gen/train/shard_6.toml`
567
+ - 7: `config/gen/train/shard_7.toml` (decode only)
568
+ - 8: `config/encdec/claude_sonnet_5.toml` (encode only)
569
+ - 9: `config/encdec/gpt_5_6_terra.toml` (encode only)
570
+
571
+ Statistics:
572
+ - every configured statistic was present.
573
+
574
+ ## Summary: per-encoder means, marginalised over decoders
575
+
576
+ Every encoder encoded the same 2000 rows and every decoder decoded every encoder's encodings, so each encoder's row is an average over the same decoders and source texts. Values are the decoder-balanced means (mean of the per-decoder means); `Rows` counts the kept rows behind each.
577
+ For reference, the human source texts score 0.0616 (std 0.0942) on the same EditLens model.
578
+
579
+ | Encoder | Editlens Score | Editlens Bucket | Cosdist | Jaccard 1 | Levenshtein | Softngram | Bertscore | Moverscore | Reranker | Rows |
580
+ |---|---|---|---|---|---|---|---|---|---|---|
581
+ | granite-4.2-30b-nvfp4 [0] | 0.6851 | 2.0366 | 0.2720 | 0.7668 | 2953.7796 | 0.7875 | 0.1751 | 0.6318 | -2.0271 | 2,017 |
582
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6311 | 1.8620 | 0.2825 | 0.7186 | 2830.1266 | 0.7293 | 0.1639 | 0.6030 | -1.8051 | 2,023 |
583
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8029 | 2.4331 | 0.3843 | 0.8341 | 3043.3284 | 0.8686 | 0.2013 | 0.6854 | 1.7986 | 2,013 |
584
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.7214 | 2.1729 | 0.2912 | 0.7946 | 3020.2663 | 0.8372 | 0.1822 | 0.6507 | -1.6815 | 2,048 |
585
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.7510 | 2.2569 | 0.3192 | 0.8045 | 3198.6141 | 0.8353 | 0.1872 | 0.6591 | -0.4909 | 2,020 |
586
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.7610 | 2.2775 | 0.3312 | 0.8345 | 3053.2435 | 0.8940 | 0.1955 | 0.6787 | -0.6185 | 2,043 |
587
+ | Laguna-S-2.1-NVFP4 [6] | 0.7304 | 2.1809 | 0.3352 | 0.8020 | 3184.1194 | 0.8390 | 0.1896 | 0.6629 | -0.4826 | 2,014 |
588
+ | ❗ claude-sonnet-5 [8] | 0.6172 | 1.7905 | 0.2419 | 0.7545 | 3155.4410 | 0.7796 | 0.1678 | 0.6204 | -2.7809 | 2,038 |
589
+ | gpt-5.6-terra [9] | 0.6196 | 1.8320 | 0.2224 | 0.7442 | 3330.6634 | 0.7693 | 0.1637 | 0.6117 | -3.4548 | 2,039 |
590
+
591
+ ✔️ marks the highest EditLens score (most AI-like reconstructions), ❗ the lowest.
592
+
593
+ Kept rows per encoder x decoder (after the decoders' post-processing):
594
+
595
+ | Encoder \ Decoder | Granite-4.2-30B-Nvfp4 [0] | Ornith-1.5-35B-A3B-Nvfp4 [1] | Llama-3.3-70B-Instruct-Nvfp4 [2] | Qwen3.8-27B-Awq-Int4 [3] | Mistral-Small-4-119B-2603-Nvfp4 [4] | Gemma-4-31B-It-Awq-4Bit [5] | Laguna-S-2.1-Nvfp4 [6] |
596
+ |---|---|---|---|---|---|---|---|
597
+ | granite-4.2-30b-nvfp4 [0] | 279 | 287 | 298 | 288 | 280 | 299 | 286 |
598
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 273 | 294 | 296 | 296 | 289 | 293 | 282 |
599
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 268 | 288 | 298 | 291 | 289 | 297 | 282 |
600
+ | Qwen3.8-27B-AWQ-INT4 [3] | 279 | 297 | 297 | 296 | 294 | 296 | 289 |
601
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 267 | 291 | 296 | 293 | 293 | 297 | 283 |
602
+ | gemma-4-31B-it-AWQ-4bit [5] | 282 | 298 | 297 | 296 | 290 | 295 | 285 |
603
+ | Laguna-S-2.1-NVFP4 [6] | 273 | 288 | 294 | 290 | 292 | 298 | 279 |
604
+ | claude-sonnet-5 [8] | 278 | 290 | 299 | 292 | 293 | 296 | 290 |
605
+ | gpt-5.6-terra [9] | 283 | 292 | 296 | 292 | 296 | 295 | 285 |
606
+
607
+ Decoder post-processing:
608
+ - Decoder 0 (`granite-4.2-30b-nvfp4`): 2,482 kept / 218 trashed of 2,700; failed requests 5; runtime 1.5 h (empty or too short: 6, refusal: 63, unfilled placeholder: 48, task meta-commentary: 137)
609
+ - Decoder 1 (`Ornith-1.5-35B-A3B-NVFP4`): 2,625 kept / 75 trashed of 2,700; failed requests 3; runtime 0.6 h (empty or too short: 3, refusal: 10, unfilled placeholder: 24, task meta-commentary: 40)
610
+ - Decoder 2 (`Llama-3.3-70B-Instruct-NVFP4`): 2,671 kept / 29 trashed of 2,700; failed requests 2; runtime 3.0 h (empty or too short: 2, refusal: 2, unfilled placeholder: 25)
611
+ - Decoder 3 (`Qwen3.8-27B-AWQ-INT4`): 2,634 kept / 66 trashed of 2,700; failed requests 3; runtime 2.4 h (empty or too short: 5, unfilled placeholder: 56, task meta-commentary: 1, identical to source: 4)
612
+ - Decoder 4 (`Mistral-Small-4-119B-2603-NVFP4`): 2,616 kept / 84 trashed of 2,700; failed requests 27; runtime 0.6 h (empty or too short: 28, refusal: 1, filler output: 1, unfilled placeholder: 51, task meta-commentary: 4)
613
+ - Decoder 5 (`gemma-4-31B-it-AWQ-4bit`): 2,666 kept / 34 trashed of 2,700; failed requests 0; runtime 2.0 h (unfilled placeholder: 31, identical to source: 3)
614
+ - Decoder 6 (`Laguna-S-2.1-NVFP4`): 2,561 kept / 139 trashed of 2,700; failed requests 0; runtime 1.0 h (empty or too short: 3, refusal: 41, filler output: 1, unfilled placeholder: 71, task meta-commentary: 50)
615
+
616
+ ## Contents
617
+
618
+ 1. [EditLens score (higher = more AI-like) (`final_response_editlens_score_roberta_large`)](#editlens-score-higher-more-ai-like-final-response-editlens-score-roberta-large)
619
+ 2. [EditLens bucket (higher = more AI-like) (`final_response_editlens_bucket_roberta_large`)](#editlens-bucket-higher-more-ai-like-final-response-editlens-bucket-roberta-large)
620
+ 3. [Jaccard-1 distance to the source (`jaccard_1`)](#jaccard-1-distance-to-the-source-jaccard-1)
621
+ 4. [Jaccard-2 distance to the source (`jaccard_2`)](#jaccard-2-distance-to-the-source-jaccard-2)
622
+ 5. [Levenshtein distance to the source (`levenshtein`)](#levenshtein-distance-to-the-source-levenshtein)
623
+ 6. [Soft n-gram distance to the source (`softngram`)](#soft-n-gram-distance-to-the-source-softngram)
624
+ 7. [Embedding cosine distance to the source (`cosdist`)](#embedding-cosine-distance-to-the-source-cosdist)
625
+ 8. [BERTScore distance to the source (`bertscore`)](#bertscore-distance-to-the-source-bertscore)
626
+ 9. [BERTScore precision distance (`bertscore_precision`)](#bertscore-precision-distance-bertscore-precision)
627
+ 10. [BERTScore recall distance (`bertscore_recall`)](#bertscore-recall-distance-bertscore-recall)
628
+ 11. [MoverScore distance to the source (`moverscore`)](#moverscore-distance-to-the-source-moverscore)
629
+ 12. [Reranker distance to the source (`reranker`)](#reranker-distance-to-the-source-reranker)
630
+
631
+ ## Statistics
632
+
633
+ ### EditLens score (higher = more AI-like) (`final_response_editlens_score_roberta_large`)
634
+
635
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
636
+
637
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
638
+ |---|---|---|---|---|---|---|
639
+ | granite-4.2-30b-nvfp4 [0] | 0.6846 | 0.3230 | 0.6851 | 0.0519 | 2,017 | 7 |
640
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6301 | 0.3516 | 0.6311 | 0.0594 | 2,023 | 7 |
641
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8020 | 0.2808 | 0.8029 | 0.0537 | 2,013 | 7 |
642
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.7206 | 0.3045 | 0.7214 | 0.0604 | 2,048 | 7 |
643
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.7502 | 0.2992 | 0.7510 | 0.0507 | 2,020 | 7 |
644
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.7601 | 0.2859 | 0.7610 | 0.0541 | 2,043 | 7 |
645
+ | Laguna-S-2.1-NVFP4 [6] | 0.7297 | 0.3202 | 0.7304 | 0.0581 | 2,014 | 7 |
646
+ | ❗ claude-sonnet-5 [8] | 0.6165 | 0.3320 | 0.6172 | 0.0596 | 2,038 | 7 |
647
+ | gpt-5.6-terra [9] | 0.6188 | 0.3377 | 0.6196 | 0.0723 | 2,039 | 7 |
648
+
649
+ ![EditLens score (higher = more AI-like) per encoder](ENC_final_response_editlens_score_roberta_large.png)
650
+
651
+ Encoder x decoder cell means:
652
+
653
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
654
+ |---|---|---|---|---|---|---|---|
655
+ | granite-4.2-30b-nvfp4 [0] | 0.7294 | 0.5812 | 0.6424 | 0.7017 | 0.7140 | 0.6861 | 0.7409 |
656
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6730 | 0.5202 | 0.5839 | 0.6387 | 0.6840 | 0.6143 | 0.7037 |
657
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8380 | 0.7159 | 0.7351 | 0.8100 | 0.8507 | 0.8008 | 0.8698 |
658
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.7793 | 0.6096 | 0.7075 | 0.7118 | 0.7831 | 0.6767 | 0.7815 |
659
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.7917 | 0.6549 | 0.7240 | 0.7458 | 0.7837 | 0.7353 | 0.8218 |
660
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.8142 | 0.6625 | 0.7217 | 0.7729 | 0.8030 | 0.7314 | 0.8210 |
661
+ | Laguna-S-2.1-NVFP4 [6] | 0.7863 | 0.6075 | 0.7137 | 0.7331 | 0.7743 | 0.7134 | 0.7847 |
662
+ | claude-sonnet-5 [8] | 0.6738 | 0.5366 | 0.5582 | 0.6089 | 0.6620 | 0.5751 | 0.7058 |
663
+ | gpt-5.6-terra [9] | 0.7041 | 0.5000 | 0.5527 | 0.6327 | 0.6510 | 0.5853 | 0.7111 |
664
+
665
+ ![EditLens score (higher = more AI-like) encoder x decoder](MATRIX_final_response_editlens_score_roberta_large.png)
666
+
667
+ Per decoder, marginalised over every encoder (for contrast):
668
+
669
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
670
+ |---|---|---|---|---|---|
671
+ | granite-4.2-30b-nvfp4 [0] | 0.7540 | 0.2860 | 0.7544 | 0.0576 | 2,482 |
672
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.5987 | 0.3359 | 0.5987 | 0.0677 | 2,625 |
673
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.6598 | 0.3539 | 0.6599 | 0.0720 | 2,671 |
674
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.7061 | 0.3267 | 0.7062 | 0.0641 | 2,634 |
675
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.7450 | 0.3006 | 0.7451 | 0.0656 | 2,616 |
676
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.6800 | 0.3115 | 0.6798 | 0.0713 | 2,666 |
677
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.7709 | 0.2979 | 0.7712 | 0.0562 | 2,561 |
678
+
679
+ Per encoding instruction, marginalised over every encoder and decoder:
680
+
681
+ | Encoding instruction | Mean | Std | N |
682
+ |---|---|---|---|
683
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.5171 | 0.3285 | 3,108 |
684
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.8157 | 0.2599 | 2,704 |
685
+ | Reformat this text into a sensible, structured JSON object. | 0.6117 | 0.3315 | 3,320 |
686
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.8433 | 0.2657 | 2,835 |
687
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.6153 | 0.3220 | 3,120 |
688
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.8357 | 0.2405 | 3,168 |
689
+
690
+ ### EditLens bucket (higher = more AI-like) (`final_response_editlens_bucket_roberta_large`)
691
+
692
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
693
+
694
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
695
+ |---|---|---|---|---|---|---|
696
+ | granite-4.2-30b-nvfp4 [0] | 2.0347 | 1.1578 | 2.0366 | 0.1756 | 2,017 | 7 |
697
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 1.8586 | 1.2529 | 1.8620 | 0.1983 | 2,023 | 7 |
698
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 2.4302 | 1.0125 | 2.4331 | 0.1821 | 2,013 | 7 |
699
+ | Qwen3.8-27B-AWQ-INT4 [3] | 2.1699 | 1.1103 | 2.1729 | 0.2121 | 2,048 | 7 |
700
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 2.2540 | 1.0820 | 2.2569 | 0.1702 | 2,020 | 7 |
701
+ | gemma-4-31B-it-AWQ-4bit [5] | 2.2746 | 1.0599 | 2.2775 | 0.1751 | 2,043 | 7 |
702
+ | Laguna-S-2.1-NVFP4 [6] | 2.1787 | 1.1396 | 2.1809 | 0.1851 | 2,014 | 7 |
703
+ | ❗ claude-sonnet-5 [8] | 1.7885 | 1.2023 | 1.7905 | 0.1856 | 2,038 | 7 |
704
+ | gpt-5.6-terra [9] | 1.8293 | 1.2224 | 1.8320 | 0.2319 | 2,039 | 7 |
705
+
706
+ ![EditLens bucket (higher = more AI-like) per encoder](ENC_final_response_editlens_bucket_roberta_large.png)
707
+
708
+ Encoder x decoder cell means:
709
+
710
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
711
+ |---|---|---|---|---|---|---|---|
712
+ | granite-4.2-30b-nvfp4 [0] | 2.2222 | 1.6899 | 1.8960 | 2.0903 | 2.1143 | 2.0268 | 2.2168 |
713
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 2.0073 | 1.4898 | 1.6993 | 1.9291 | 2.0000 | 1.7986 | 2.1099 |
714
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 2.5597 | 2.1146 | 2.2315 | 2.4570 | 2.5709 | 2.4310 | 2.6667 |
715
+ | Qwen3.8-27B-AWQ-INT4 [3] | 2.4050 | 1.7980 | 2.1313 | 2.1284 | 2.4014 | 1.9932 | 2.3529 |
716
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 2.3970 | 1.9381 | 2.1520 | 2.2389 | 2.3652 | 2.2121 | 2.4947 |
717
+ | gemma-4-31B-it-AWQ-4bit [5] | 2.4468 | 1.9866 | 2.1347 | 2.3311 | 2.4483 | 2.1424 | 2.4526 |
718
+ | Laguna-S-2.1-NVFP4 [6] | 2.3516 | 1.7951 | 2.1327 | 2.1793 | 2.3425 | 2.1141 | 2.3513 |
719
+ | claude-sonnet-5 [8] | 1.9496 | 1.5414 | 1.6020 | 1.7740 | 1.9249 | 1.6622 | 2.0793 |
720
+ | gpt-5.6-terra [9] | 2.1060 | 1.4555 | 1.6149 | 1.8425 | 1.9324 | 1.7356 | 2.1368 |
721
+
722
+ ![EditLens bucket (higher = more AI-like) encoder x decoder](MATRIX_final_response_editlens_bucket_roberta_large.png)
723
+
724
+ Per decoder, marginalised over every encoder (for contrast):
725
+
726
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
727
+ |---|---|---|---|---|---|
728
+ | granite-4.2-30b-nvfp4 [0] | 2.2703 | 1.0460 | 2.2717 | 0.1992 | 2,482 |
729
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 1.7566 | 1.2066 | 1.7566 | 0.2185 | 2,625 |
730
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 1.9547 | 1.2913 | 1.9549 | 0.2402 | 2,671 |
731
+ | Qwen3.8-27B-AWQ-INT4 [3] | 2.1078 | 1.1585 | 2.1078 | 0.2131 | 2,634 |
732
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 2.2332 | 1.0787 | 2.2333 | 0.2290 | 2,616 |
733
+ | gemma-4-31B-it-AWQ-4bit [5] | 2.0135 | 1.1342 | 2.0129 | 0.2328 | 2,666 |
734
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 2.3171 | 1.0708 | 2.3179 | 0.1875 | 2,561 |
735
+
736
+ Per encoding instruction, marginalised over every encoder and decoder:
737
+
738
+ | Encoding instruction | Mean | Std | N |
739
+ |---|---|---|---|
740
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 1.4823 | 1.1974 | 3,108 |
741
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 2.4486 | 0.9586 | 2,704 |
742
+ | Reformat this text into a sensible, structured JSON object. | 1.7988 | 1.2034 | 3,320 |
743
+ | Translate the entirety of this text into a sequence of emojis that captures the literal me... | 2.5443 | 0.9475 | 2,835 |
744
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 1.8138 | 1.1971 | 3,120 |
745
+ | ✔️ Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 2.5540 | 0.8906 | 3,168 |
746
+
747
+ ### Jaccard-1 distance to the source (`jaccard_1`)
748
+
749
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
750
+
751
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
752
+ |---|---|---|---|---|---|---|
753
+ | granite-4.2-30b-nvfp4 [0] | 0.7666 | 0.1944 | 0.7668 | 0.0181 | 2,017 | 7 |
754
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.7183 | 0.2432 | 0.7186 | 0.0217 | 2,023 | 7 |
755
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8339 | 0.1220 | 0.8341 | 0.0155 | 2,013 | 7 |
756
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.7944 | 0.1577 | 0.7946 | 0.0180 | 2,048 | 7 |
757
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8043 | 0.1521 | 0.8045 | 0.0170 | 2,020 | 7 |
758
+ | ✔️ gemma-4-31B-it-AWQ-4bit [5] | 0.8342 | 0.0937 | 0.8345 | 0.0141 | 2,043 | 7 |
759
+ | Laguna-S-2.1-NVFP4 [6] | 0.8019 | 0.1674 | 0.8020 | 0.0158 | 2,014 | 7 |
760
+ | claude-sonnet-5 [8] | 0.7543 | 0.1761 | 0.7545 | 0.0214 | 2,038 | 7 |
761
+ | gpt-5.6-terra [9] | 0.7440 | 0.1902 | 0.7442 | 0.0234 | 2,039 | 7 |
762
+
763
+ ![Jaccard-1 distance to the source per encoder](ENC_jaccard_1.png)
764
+
765
+ Encoder x decoder cell means:
766
+
767
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
768
+ |---|---|---|---|---|---|---|---|
769
+ | granite-4.2-30b-nvfp4 [0] | 0.7779 | 0.7590 | 0.7687 | 0.7339 | 0.7754 | 0.7564 | 0.7960 |
770
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.7232 | 0.6976 | 0.7210 | 0.6857 | 0.7427 | 0.7090 | 0.7514 |
771
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8438 | 0.8245 | 0.8271 | 0.8088 | 0.8518 | 0.8276 | 0.8551 |
772
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.8066 | 0.7799 | 0.7962 | 0.7673 | 0.8183 | 0.7798 | 0.8141 |
773
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8099 | 0.7971 | 0.8019 | 0.7750 | 0.8233 | 0.7947 | 0.8294 |
774
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.8435 | 0.8280 | 0.8259 | 0.8173 | 0.8485 | 0.8208 | 0.8574 |
775
+ | Laguna-S-2.1-NVFP4 [6] | 0.8107 | 0.7873 | 0.7983 | 0.7777 | 0.8215 | 0.7961 | 0.8227 |
776
+ | claude-sonnet-5 [8] | 0.7634 | 0.7388 | 0.7506 | 0.7260 | 0.7791 | 0.7357 | 0.7876 |
777
+ | gpt-5.6-terra [9] | 0.7644 | 0.7235 | 0.7449 | 0.7155 | 0.7578 | 0.7211 | 0.7824 |
778
+
779
+ ![Jaccard-1 distance to the source encoder x decoder](MATRIX_jaccard_1.png)
780
+
781
+ Per decoder, marginalised over every encoder (for contrast):
782
+
783
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
784
+ |---|---|---|---|---|---|
785
+ | granite-4.2-30b-nvfp4 [0] | 0.7936 | 0.1682 | 0.7937 | 0.0376 | 2,482 |
786
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.7707 | 0.1821 | 0.7706 | 0.0421 | 2,625 |
787
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.7816 | 0.1603 | 0.7816 | 0.0351 | 2,671 |
788
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.7564 | 0.2014 | 0.7563 | 0.0415 | 2,634 |
789
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8021 | 0.1601 | 0.8020 | 0.0372 | 2,616 |
790
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.7713 | 0.1807 | 0.7712 | 0.0405 | 2,666 |
791
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.8106 | 0.1635 | 0.8107 | 0.0329 | 2,561 |
792
+
793
+ Per encoding instruction, marginalised over every encoder and decoder:
794
+
795
+ | Encoding instruction | Mean | Std | N |
796
+ |---|---|---|---|
797
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.6064 | 0.2348 | 3,108 |
798
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.8594 | 0.0577 | 2,704 |
799
+ | Reformat this text into a sensible, structured JSON object. | 0.6784 | 0.1917 | 3,320 |
800
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.9076 | 0.0519 | 2,835 |
801
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.7929 | 0.0865 | 3,120 |
802
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.8824 | 0.0314 | 3,168 |
803
+
804
+ ### Jaccard-2 distance to the source (`jaccard_2`)
805
+
806
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
807
+
808
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
809
+ |---|---|---|---|---|---|---|
810
+ | granite-4.2-30b-nvfp4 [0] | 0.8843 | 0.1891 | 0.8844 | 0.0147 | 2,017 | 7 |
811
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.8327 | 0.2423 | 0.8330 | 0.0165 | 2,023 | 7 |
812
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.9398 | 0.1080 | 0.9400 | 0.0121 | 2,013 | 7 |
813
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.9153 | 0.1448 | 0.9155 | 0.0126 | 2,048 | 7 |
814
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.9184 | 0.1380 | 0.9185 | 0.0139 | 2,020 | 7 |
815
+ | ✔️ gemma-4-31B-it-AWQ-4bit [5] | 0.9503 | 0.0738 | 0.9504 | 0.0079 | 2,043 | 7 |
816
+ | Laguna-S-2.1-NVFP4 [6] | 0.9114 | 0.1587 | 0.9115 | 0.0123 | 2,014 | 7 |
817
+ | claude-sonnet-5 [8] | 0.8826 | 0.1663 | 0.8827 | 0.0156 | 2,038 | 7 |
818
+ | gpt-5.6-terra [9] | 0.8743 | 0.1813 | 0.8745 | 0.0169 | 2,039 | 7 |
819
+
820
+ ![Jaccard-2 distance to the source per encoder](ENC_jaccard_2.png)
821
+
822
+ Encoder x decoder cell means:
823
+
824
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
825
+ |---|---|---|---|---|---|---|---|
826
+ | granite-4.2-30b-nvfp4 [0] | 0.8931 | 0.8801 | 0.8877 | 0.8569 | 0.8932 | 0.8741 | 0.9058 |
827
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.8333 | 0.8143 | 0.8388 | 0.8083 | 0.8527 | 0.8279 | 0.8553 |
828
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.9484 | 0.9343 | 0.9365 | 0.9194 | 0.9549 | 0.9318 | 0.9543 |
829
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.9256 | 0.9073 | 0.9184 | 0.8964 | 0.9333 | 0.9024 | 0.9249 |
830
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.9245 | 0.9149 | 0.9168 | 0.8931 | 0.9340 | 0.9095 | 0.9370 |
831
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.9560 | 0.9484 | 0.9457 | 0.9438 | 0.9572 | 0.9387 | 0.9629 |
832
+ | Laguna-S-2.1-NVFP4 [6] | 0.9183 | 0.9005 | 0.9095 | 0.8918 | 0.9281 | 0.9065 | 0.9258 |
833
+ | claude-sonnet-5 [8] | 0.8880 | 0.8712 | 0.8808 | 0.8627 | 0.9053 | 0.8679 | 0.9032 |
834
+ | gpt-5.6-terra [9] | 0.8910 | 0.8592 | 0.8786 | 0.8530 | 0.8860 | 0.8559 | 0.8977 |
835
+
836
+ ![Jaccard-2 distance to the source encoder x decoder](MATRIX_jaccard_2.png)
837
+
838
+ Per decoder, marginalised over every encoder (for contrast):
839
+
840
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
841
+ |---|---|---|---|---|---|
842
+ | granite-4.2-30b-nvfp4 [0] | 0.9086 | 0.1597 | 0.9087 | 0.0352 | 2,482 |
843
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.8923 | 0.1737 | 0.8922 | 0.0387 | 2,625 |
844
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.9014 | 0.1487 | 0.9014 | 0.0313 | 2,671 |
845
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.8806 | 0.1985 | 0.8806 | 0.0379 | 2,634 |
846
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.9161 | 0.1464 | 0.9161 | 0.0325 | 2,616 |
847
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.8906 | 0.1712 | 0.8905 | 0.0345 | 2,666 |
848
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.9185 | 0.1528 | 0.9185 | 0.0308 | 2,561 |
849
+
850
+ Per encoding instruction, marginalised over every encoder and decoder:
851
+
852
+ | Encoding instruction | Mean | Std | N |
853
+ |---|---|---|---|
854
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.7536 | 0.2503 | 3,108 |
855
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.9664 | 0.0315 | 2,704 |
856
+ | Reformat this text into a sensible, structured JSON object. | 0.8263 | 0.2107 | 3,320 |
857
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.9851 | 0.0339 | 2,835 |
858
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.9147 | 0.0721 | 3,120 |
859
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.9794 | 0.0109 | 3,168 |
860
+
861
+ ### Levenshtein distance to the source (`levenshtein`)
862
+
863
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
864
+
865
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
866
+ |---|---|---|---|---|---|---|
867
+ | granite-4.2-30b-nvfp4 [0] | 2952.2920 | 2844.1391 | 2953.7796 | 168.8712 | 2,017 | 7 |
868
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 2827.0030 | 3803.2615 | 2830.1266 | 244.0772 | 2,023 | 7 |
869
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 3041.2966 | 2908.2688 | 3043.3284 | 108.4796 | 2,013 | 7 |
870
+ | Qwen3.8-27B-AWQ-INT4 [3] | 3019.2661 | 3429.4367 | 3020.2663 | 179.7201 | 2,048 | 7 |
871
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 3190.0277 | 4910.5124 | 3198.6141 | 303.7554 | 2,020 | 7 |
872
+ | gemma-4-31B-it-AWQ-4bit [5] | 3051.9711 | 2984.0946 | 3053.2435 | 153.6386 | 2,043 | 7 |
873
+ | Laguna-S-2.1-NVFP4 [6] | 3182.2925 | 4416.7275 | 3184.1194 | 313.8146 | 2,014 | 7 |
874
+ | claude-sonnet-5 [8] | 3151.3440 | 6250.0315 | 3155.4410 | 400.8880 | 2,038 | 7 |
875
+ | ✔️ gpt-5.6-terra [9] | 3331.1275 | 7092.4672 | 3330.6634 | 572.0851 | 2,039 | 7 |
876
+
877
+ ![Levenshtein distance to the source per encoder](ENC_levenshtein.png)
878
+
879
+ Encoder x decoder cell means:
880
+
881
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
882
+ |---|---|---|---|---|---|---|---|
883
+ | granite-4.2-30b-nvfp4 [0] | 2953.7455 | 3216.3763 | 2986.4799 | 2707.5521 | 2996.9893 | 2730.3913 | 3084.9231 |
884
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 2828.2711 | 2997.6054 | 2721.8142 | 2521.1520 | 2872.8685 | 2575.3413 | 3293.8333 |
885
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 3117.5784 | 3013.7917 | 3045.7785 | 2909.7766 | 3146.7716 | 2881.0135 | 3188.5887 |
886
+ | Qwen3.8-27B-AWQ-INT4 [3] | 3053.2222 | 3190.7104 | 3023.1582 | 2759.2264 | 3140.6122 | 2751.6993 | 3223.2353 |
887
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 3650.9139 | 3079.7010 | 3107.6486 | 2875.1331 | 3265.9215 | 2812.0337 | 3598.9470 |
888
+ | gemma-4-31B-it-AWQ-4bit [5] | 3021.1418 | 3069.5168 | 3059.4411 | 2884.8514 | 3282.7034 | 2825.5729 | 3229.4772 |
889
+ | Laguna-S-2.1-NVFP4 [6] | 3095.0549 | 3077.5417 | 3601.1905 | 2760.0966 | 3329.3733 | 2829.6577 | 3595.9211 |
890
+ | claude-sonnet-5 [8] | 3331.2626 | 3529.2345 | 2899.2040 | 2736.5993 | 3037.8259 | 2698.2399 | 3855.7207 |
891
+ | gpt-5.6-terra [9] | 3209.4382 | 3291.9521 | 4520.0608 | 2753.8938 | 3160.7905 | 2710.4034 | 3668.1053 |
892
+
893
+ ![Levenshtein distance to the source encoder x decoder](MATRIX_levenshtein.png)
894
+
895
+ Per decoder, marginalised over every encoder (for contrast):
896
+
897
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
898
+ |---|---|---|---|---|---|
899
+ | granite-4.2-30b-nvfp4 [0] | 3138.4533 | 4625.3624 | 3140.0698 | 225.7043 | 2,482 |
900
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 3162.6583 | 4945.6707 | 3162.9367 | 158.8055 | 2,625 |
901
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 3217.2280 | 6289.2638 | 3218.3084 | 510.8350 | 2,671 |
902
+ | Qwen3.8-27B-AWQ-INT4 [3] | 2767.4617 | 2841.2899 | 2767.5868 | 111.1271 | 2,634 |
903
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 3137.9687 | 2838.5017 | 3137.0952 | 139.3382 | 2,616 |
904
+ | ❗ gemma-4-31B-it-AWQ-4bit [5] | 2757.4381 | 3004.1831 | 2757.1503 | 86.7623 | 2,666 |
905
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 3415.6892 | 5766.1180 | 3415.4168 | 251.8710 | 2,561 |
906
+
907
+ Per encoding instruction, marginalised over every encoder and decoder:
908
+
909
+ | Encoding instruction | Mean | Std | N |
910
+ |---|---|---|---|
911
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 2330.5438 | 3133.3697 | 3,108 |
912
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 3106.8839 | 3308.2894 | 2,704 |
913
+ | Reformat this text into a sensible, structured JSON object. | 2682.8575 | 3286.1749 | 3,320 |
914
+ | Translate the entirety of this text into a sequence of emojis that captures the literal me... | 3614.7831 | 7038.6579 | 2,835 |
915
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 3096.3061 | 5963.9306 | 3,120 |
916
+ | ✔️ Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 3731.8021 | 2729.3455 | 3,168 |
917
+
918
+ ### Soft n-gram distance to the source (`softngram`)
919
+
920
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
921
+
922
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
923
+ |---|---|---|---|---|---|---|
924
+ | granite-4.2-30b-nvfp4 [0] | 0.7872 | 0.2739 | 0.7875 | 0.0263 | 2,017 | 7 |
925
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.7288 | 0.3253 | 0.7293 | 0.0287 | 2,023 | 7 |
926
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8682 | 0.1900 | 0.8686 | 0.0242 | 2,013 | 7 |
927
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.8369 | 0.2298 | 0.8372 | 0.0237 | 2,048 | 7 |
928
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8350 | 0.2190 | 0.8353 | 0.0245 | 2,020 | 7 |
929
+ | ✔️ gemma-4-31B-it-AWQ-4bit [5] | 0.8936 | 0.1406 | 0.8940 | 0.0210 | 2,043 | 7 |
930
+ | Laguna-S-2.1-NVFP4 [6] | 0.8386 | 0.2332 | 0.8390 | 0.0234 | 2,014 | 7 |
931
+ | claude-sonnet-5 [8] | 0.7794 | 0.2492 | 0.7796 | 0.0292 | 2,038 | 7 |
932
+ | gpt-5.6-terra [9] | 0.7689 | 0.2679 | 0.7693 | 0.0308 | 2,039 | 7 |
933
+
934
+ ![Soft n-gram distance to the source per encoder](ENC_softngram.png)
935
+
936
+ Encoder x decoder cell means:
937
+
938
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
939
+ |---|---|---|---|---|---|---|---|
940
+ | granite-4.2-30b-nvfp4 [0] | 0.8069 | 0.7789 | 0.7853 | 0.7422 | 0.8016 | 0.7682 | 0.8297 |
941
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.7447 | 0.7059 | 0.7229 | 0.6905 | 0.7621 | 0.7067 | 0.7723 |
942
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8829 | 0.8643 | 0.8531 | 0.8328 | 0.8976 | 0.8479 | 0.9016 |
943
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.8590 | 0.8199 | 0.8330 | 0.8044 | 0.8674 | 0.8143 | 0.8622 |
944
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8461 | 0.8192 | 0.8288 | 0.7986 | 0.8635 | 0.8187 | 0.8722 |
945
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.9090 | 0.8925 | 0.8724 | 0.8756 | 0.9130 | 0.8687 | 0.9265 |
946
+ | Laguna-S-2.1-NVFP4 [6] | 0.8596 | 0.8181 | 0.8272 | 0.8085 | 0.8670 | 0.8234 | 0.8689 |
947
+ | claude-sonnet-5 [8] | 0.7922 | 0.7655 | 0.7602 | 0.7501 | 0.8151 | 0.7485 | 0.8259 |
948
+ | gpt-5.6-terra [9] | 0.8033 | 0.7441 | 0.7568 | 0.7360 | 0.7873 | 0.7394 | 0.8180 |
949
+
950
+ ![Soft n-gram distance to the source encoder x decoder](MATRIX_softngram.png)
951
+
952
+ Per decoder, marginalised over every encoder (for contrast):
953
+
954
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
955
+ |---|---|---|---|---|---|
956
+ | granite-4.2-30b-nvfp4 [0] | 0.8337 | 0.2350 | 0.8337 | 0.0481 | 2,482 |
957
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.8010 | 0.2626 | 0.8009 | 0.0552 | 2,625 |
958
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.8044 | 0.2268 | 0.8044 | 0.0473 | 2,671 |
959
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.7821 | 0.2828 | 0.7821 | 0.0537 | 2,634 |
960
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.8417 | 0.2289 | 0.8416 | 0.0490 | 2,616 |
961
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.7930 | 0.2504 | 0.7929 | 0.0513 | 2,666 |
962
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.8530 | 0.2245 | 0.8530 | 0.0441 | 2,561 |
963
+
964
+ Per encoding instruction, marginalised over every encoder and decoder:
965
+
966
+ | Encoding instruction | Mean | Std | N |
967
+ |---|---|---|---|
968
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.5681 | 0.3124 | 3,108 |
969
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.9337 | 0.0855 | 2,704 |
970
+ | Reformat this text into a sensible, structured JSON object. | 0.6387 | 0.2586 | 3,320 |
971
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.9785 | 0.0750 | 2,835 |
972
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.8389 | 0.1364 | 3,120 |
973
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.9718 | 0.0417 | 3,168 |
974
+
975
+ ### Embedding cosine distance to the source (`cosdist`)
976
+
977
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
978
+
979
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
980
+ |---|---|---|---|---|---|---|
981
+ | granite-4.2-30b-nvfp4 [0] | 0.2722 | 0.2088 | 0.2720 | 0.0153 | 2,017 | 7 |
982
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.2825 | 0.2274 | 0.2825 | 0.0167 | 2,023 | 7 |
983
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.3846 | 0.2449 | 0.3843 | 0.0169 | 2,013 | 7 |
984
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.2912 | 0.1927 | 0.2912 | 0.0199 | 2,048 | 7 |
985
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.3194 | 0.2215 | 0.3192 | 0.0175 | 2,020 | 7 |
986
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.3311 | 0.1832 | 0.3312 | 0.0190 | 2,043 | 7 |
987
+ | Laguna-S-2.1-NVFP4 [6] | 0.3353 | 0.2200 | 0.3352 | 0.0171 | 2,014 | 7 |
988
+ | claude-sonnet-5 [8] | 0.2420 | 0.1747 | 0.2419 | 0.0198 | 2,038 | 7 |
989
+ | ❗ gpt-5.6-terra [9] | 0.2224 | 0.1900 | 0.2224 | 0.0183 | 2,039 | 7 |
990
+
991
+ ![Embedding cosine distance to the source per encoder](ENC_cosdist.png)
992
+
993
+ Encoder x decoder cell means:
994
+
995
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
996
+ |---|---|---|---|---|---|---|---|
997
+ | granite-4.2-30b-nvfp4 [0] | 0.2676 | 0.2554 | 0.3055 | 0.2731 | 0.2574 | 0.2712 | 0.2735 |
998
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.2767 | 0.2658 | 0.3139 | 0.2689 | 0.2951 | 0.2665 | 0.2905 |
999
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.3617 | 0.3618 | 0.4113 | 0.3872 | 0.3869 | 0.3816 | 0.3993 |
1000
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.2888 | 0.2628 | 0.3298 | 0.2918 | 0.2983 | 0.2713 | 0.2955 |
1001
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.2997 | 0.2950 | 0.3498 | 0.3205 | 0.3321 | 0.3127 | 0.3242 |
1002
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.3337 | 0.3055 | 0.3686 | 0.3277 | 0.3351 | 0.3111 | 0.3363 |
1003
+ | Laguna-S-2.1-NVFP4 [6] | 0.3187 | 0.3087 | 0.3634 | 0.3382 | 0.3458 | 0.3265 | 0.3448 |
1004
+ | claude-sonnet-5 [8] | 0.2435 | 0.2190 | 0.2736 | 0.2280 | 0.2569 | 0.2168 | 0.2553 |
1005
+ | gpt-5.6-terra [9] | 0.2235 | 0.2043 | 0.2517 | 0.2086 | 0.2330 | 0.1975 | 0.2381 |
1006
+
1007
+ ![Embedding cosine distance to the source encoder x decoder](MATRIX_cosdist.png)
1008
+
1009
+ Per decoder, marginalised over every encoder (for contrast):
1010
+
1011
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1012
+ |---|---|---|---|---|---|
1013
+ | granite-4.2-30b-nvfp4 [0] | 0.2900 | 0.2050 | 0.2904 | 0.0411 | 2,482 |
1014
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.2753 | 0.2129 | 0.2754 | 0.0456 | 2,625 |
1015
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.3297 | 0.2252 | 0.3297 | 0.0469 | 2,671 |
1016
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.2938 | 0.2093 | 0.2938 | 0.0529 | 2,634 |
1017
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.3045 | 0.2164 | 0.3045 | 0.0470 | 2,616 |
1018
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.2840 | 0.2050 | 0.2839 | 0.0533 | 2,666 |
1019
+ | Laguna-S-2.1-NVFP4 [6] | 0.3061 | 0.2143 | 0.3064 | 0.0472 | 2,561 |
1020
+
1021
+ Per encoding instruction, marginalised over every encoder and decoder:
1022
+
1023
+ | Encoding instruction | Mean | Std | N |
1024
+ |---|---|---|---|
1025
+ | Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.1231 | 0.0941 | 3,108 |
1026
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.2712 | 0.1445 | 2,704 |
1027
+ | ❗ Reformat this text into a sensible, structured JSON object. | 0.1166 | 0.0757 | 3,320 |
1028
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.6031 | 0.1830 | 2,835 |
1029
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.3009 | 0.1374 | 3,120 |
1030
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.4050 | 0.1465 | 3,168 |
1031
+
1032
+ ### BERTScore distance to the source (`bertscore`)
1033
+
1034
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
1035
+
1036
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
1037
+ |---|---|---|---|---|---|---|
1038
+ | granite-4.2-30b-nvfp4 [0] | 0.1751 | 0.0675 | 0.1751 | 0.0062 | 2,017 | 7 |
1039
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1639 | 0.0751 | 0.1639 | 0.0066 | 2,023 | 7 |
1040
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.2012 | 0.0562 | 0.2013 | 0.0061 | 2,013 | 7 |
1041
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1822 | 0.0565 | 0.1822 | 0.0067 | 2,048 | 7 |
1042
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1871 | 0.0580 | 0.1872 | 0.0055 | 2,020 | 7 |
1043
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1954 | 0.0435 | 0.1955 | 0.0053 | 2,043 | 7 |
1044
+ | Laguna-S-2.1-NVFP4 [6] | 0.1896 | 0.0614 | 0.1896 | 0.0052 | 2,014 | 7 |
1045
+ | claude-sonnet-5 [8] | 0.1678 | 0.0603 | 0.1678 | 0.0082 | 2,038 | 7 |
1046
+ | ❗ gpt-5.6-terra [9] | 0.1636 | 0.0641 | 0.1637 | 0.0094 | 2,039 | 7 |
1047
+
1048
+ ![BERTScore distance to the source per encoder](ENC_bertscore.png)
1049
+
1050
+ Encoder x decoder cell means:
1051
+
1052
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
1053
+ |---|---|---|---|---|---|---|---|
1054
+ | granite-4.2-30b-nvfp4 [0] | 0.1790 | 0.1702 | 0.1801 | 0.1660 | 0.1745 | 0.1705 | 0.1852 |
1055
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1630 | 0.1568 | 0.1679 | 0.1561 | 0.1706 | 0.1588 | 0.1743 |
1056
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.2009 | 0.1956 | 0.2053 | 0.1925 | 0.2052 | 0.1979 | 0.2116 |
1057
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1831 | 0.1752 | 0.1857 | 0.1745 | 0.1890 | 0.1758 | 0.1924 |
1058
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1867 | 0.1816 | 0.1911 | 0.1797 | 0.1925 | 0.1832 | 0.1952 |
1059
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1956 | 0.1905 | 0.1979 | 0.1907 | 0.1995 | 0.1893 | 0.2050 |
1060
+ | Laguna-S-2.1-NVFP4 [6] | 0.1899 | 0.1825 | 0.1932 | 0.1840 | 0.1934 | 0.1863 | 0.1980 |
1061
+ | claude-sonnet-5 [8] | 0.1685 | 0.1605 | 0.1700 | 0.1601 | 0.1749 | 0.1584 | 0.1823 |
1062
+ | gpt-5.6-terra [9] | 0.1661 | 0.1561 | 0.1691 | 0.1537 | 0.1679 | 0.1525 | 0.1804 |
1063
+
1064
+ ![BERTScore distance to the source encoder x decoder](MATRIX_bertscore.png)
1065
+
1066
+ Per decoder, marginalised over every encoder (for contrast):
1067
+
1068
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1069
+ |---|---|---|---|---|---|
1070
+ | granite-4.2-30b-nvfp4 [0] | 0.1813 | 0.0632 | 0.1814 | 0.0126 | 2,482 |
1071
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1743 | 0.0604 | 0.1743 | 0.0137 | 2,625 |
1072
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.1845 | 0.0609 | 0.1845 | 0.0128 | 2,671 |
1073
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.1730 | 0.0638 | 0.1730 | 0.0139 | 2,634 |
1074
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1853 | 0.0565 | 0.1853 | 0.0128 | 2,616 |
1075
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1748 | 0.0592 | 0.1747 | 0.0149 | 2,666 |
1076
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.1916 | 0.0686 | 0.1916 | 0.0115 | 2,561 |
1077
+
1078
+ Per encoding instruction, marginalised over every encoder and decoder:
1079
+
1080
+ | Encoding instruction | Mean | Std | N |
1081
+ |---|---|---|---|
1082
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.1192 | 0.0565 | 3,108 |
1083
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.1962 | 0.0325 | 2,704 |
1084
+ | Reformat this text into a sensible, structured JSON object. | 0.1354 | 0.0466 | 3,320 |
1085
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.2512 | 0.0543 | 2,835 |
1086
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.1774 | 0.0329 | 3,120 |
1087
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.2150 | 0.0240 | 3,168 |
1088
+
1089
+ ### BERTScore precision distance (`bertscore_precision`)
1090
+
1091
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
1092
+
1093
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
1094
+ |---|---|---|---|---|---|---|
1095
+ | granite-4.2-30b-nvfp4 [0] | 0.1760 | 0.0692 | 0.1761 | 0.0091 | 2,017 | 7 |
1096
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1638 | 0.0763 | 0.1639 | 0.0099 | 2,023 | 7 |
1097
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.1982 | 0.0575 | 0.1983 | 0.0093 | 2,013 | 7 |
1098
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1826 | 0.0579 | 0.1827 | 0.0102 | 2,048 | 7 |
1099
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1871 | 0.0588 | 0.1872 | 0.0084 | 2,020 | 7 |
1100
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1943 | 0.0467 | 0.1944 | 0.0089 | 2,043 | 7 |
1101
+ | Laguna-S-2.1-NVFP4 [6] | 0.1892 | 0.0637 | 0.1893 | 0.0084 | 2,014 | 7 |
1102
+ | claude-sonnet-5 [8] | 0.1697 | 0.0643 | 0.1697 | 0.0114 | 2,038 | 7 |
1103
+ | gpt-5.6-terra [9] | 0.1678 | 0.0666 | 0.1679 | 0.0119 | 2,039 | 7 |
1104
+
1105
+ ![BERTScore precision distance per encoder](ENC_bertscore_precision.png)
1106
+
1107
+ Encoder x decoder cell means:
1108
+
1109
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
1110
+ |---|---|---|---|---|---|---|---|
1111
+ | granite-4.2-30b-nvfp4 [0] | 0.1812 | 0.1685 | 0.1803 | 0.1647 | 0.1796 | 0.1665 | 0.1917 |
1112
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1649 | 0.1538 | 0.1667 | 0.1541 | 0.1729 | 0.1538 | 0.1811 |
1113
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.1999 | 0.1898 | 0.2023 | 0.1855 | 0.2069 | 0.1905 | 0.2131 |
1114
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1845 | 0.1726 | 0.1862 | 0.1720 | 0.1931 | 0.1717 | 0.1990 |
1115
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1888 | 0.1784 | 0.1905 | 0.1774 | 0.1960 | 0.1791 | 0.2001 |
1116
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1942 | 0.1862 | 0.1952 | 0.1889 | 0.2026 | 0.1829 | 0.2105 |
1117
+ | Laguna-S-2.1-NVFP4 [6] | 0.1914 | 0.1797 | 0.1923 | 0.1808 | 0.1962 | 0.1810 | 0.2036 |
1118
+ | claude-sonnet-5 [8] | 0.1707 | 0.1605 | 0.1686 | 0.1626 | 0.1781 | 0.1555 | 0.1920 |
1119
+ | gpt-5.6-terra [9] | 0.1727 | 0.1574 | 0.1717 | 0.1579 | 0.1725 | 0.1528 | 0.1903 |
1120
+
1121
+ ![BERTScore precision distance encoder x decoder](MATRIX_bertscore_precision.png)
1122
+
1123
+ Per decoder, marginalised over every encoder (for contrast):
1124
+
1125
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1126
+ |---|---|---|---|---|---|
1127
+ | granite-4.2-30b-nvfp4 [0] | 0.1831 | 0.0641 | 0.1831 | 0.0111 | 2,482 |
1128
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1719 | 0.0607 | 0.1719 | 0.0121 | 2,625 |
1129
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.1837 | 0.0623 | 0.1838 | 0.0119 | 2,671 |
1130
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1716 | 0.0661 | 0.1716 | 0.0117 | 2,634 |
1131
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1886 | 0.0597 | 0.1886 | 0.0123 | 2,616 |
1132
+ | ❗ gemma-4-31B-it-AWQ-4bit [5] | 0.1705 | 0.0574 | 0.1704 | 0.0132 | 2,666 |
1133
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.1979 | 0.0712 | 0.1979 | 0.0097 | 2,561 |
1134
+
1135
+ Per encoding instruction, marginalised over every encoder and decoder:
1136
+
1137
+ | Encoding instruction | Mean | Std | N |
1138
+ |---|---|---|---|
1139
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.1227 | 0.0605 | 3,108 |
1140
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.2053 | 0.0380 | 2,704 |
1141
+ | Reformat this text into a sensible, structured JSON object. | 0.1427 | 0.0534 | 3,320 |
1142
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.2452 | 0.0601 | 2,835 |
1143
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.1659 | 0.0352 | 3,120 |
1144
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.2147 | 0.0288 | 3,168 |
1145
+
1146
+ ### BERTScore recall distance (`bertscore_recall`)
1147
+
1148
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
1149
+
1150
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
1151
+ |---|---|---|---|---|---|---|
1152
+ | granite-4.2-30b-nvfp4 [0] | 0.1731 | 0.0709 | 0.1731 | 0.0043 | 2,017 | 7 |
1153
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1630 | 0.0783 | 0.1630 | 0.0040 | 2,023 | 7 |
1154
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.2033 | 0.0612 | 0.2033 | 0.0036 | 2,013 | 7 |
1155
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1807 | 0.0613 | 0.1808 | 0.0033 | 2,048 | 7 |
1156
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1862 | 0.0633 | 0.1862 | 0.0032 | 2,020 | 7 |
1157
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1957 | 0.0479 | 0.1957 | 0.0025 | 2,043 | 7 |
1158
+ | Laguna-S-2.1-NVFP4 [6] | 0.1888 | 0.0656 | 0.1888 | 0.0028 | 2,014 | 7 |
1159
+ | claude-sonnet-5 [8] | 0.1650 | 0.0617 | 0.1650 | 0.0057 | 2,038 | 7 |
1160
+ | ❗ gpt-5.6-terra [9] | 0.1585 | 0.0668 | 0.1585 | 0.0071 | 2,039 | 7 |
1161
+
1162
+ ![BERTScore recall distance per encoder](ENC_bertscore_recall.png)
1163
+
1164
+ Encoder x decoder cell means:
1165
+
1166
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
1167
+ |---|---|---|---|---|---|---|---|
1168
+ | granite-4.2-30b-nvfp4 [0] | 0.1756 | 0.1709 | 0.1787 | 0.1665 | 0.1685 | 0.1737 | 0.1777 |
1169
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1601 | 0.1590 | 0.1682 | 0.1573 | 0.1673 | 0.1629 | 0.1664 |
1170
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.2009 | 0.2004 | 0.2072 | 0.1985 | 0.2025 | 0.2043 | 0.2091 |
1171
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.1808 | 0.1768 | 0.1840 | 0.1760 | 0.1842 | 0.1790 | 0.1846 |
1172
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1837 | 0.1838 | 0.1906 | 0.1811 | 0.1882 | 0.1864 | 0.1893 |
1173
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1961 | 0.1939 | 0.1997 | 0.1916 | 0.1954 | 0.1948 | 0.1984 |
1174
+ | Laguna-S-2.1-NVFP4 [6] | 0.1875 | 0.1842 | 0.1930 | 0.1860 | 0.1897 | 0.1905 | 0.1906 |
1175
+ | claude-sonnet-5 [8] | 0.1653 | 0.1596 | 0.1704 | 0.1565 | 0.1710 | 0.1606 | 0.1713 |
1176
+ | gpt-5.6-terra [9] | 0.1586 | 0.1538 | 0.1655 | 0.1486 | 0.1625 | 0.1515 | 0.1692 |
1177
+
1178
+ ![BERTScore recall distance encoder x decoder](MATRIX_bertscore_recall.png)
1179
+
1180
+ Per decoder, marginalised over every encoder (for contrast):
1181
+
1182
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1183
+ |---|---|---|---|---|---|
1184
+ | granite-4.2-30b-nvfp4 [0] | 0.1786 | 0.0676 | 0.1787 | 0.0143 | 2,482 |
1185
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.1758 | 0.0656 | 0.1758 | 0.0154 | 2,625 |
1186
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.1842 | 0.0661 | 0.1842 | 0.0138 | 2,671 |
1187
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.1736 | 0.0668 | 0.1736 | 0.0163 | 2,634 |
1188
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.1810 | 0.0589 | 0.1810 | 0.0133 | 2,616 |
1189
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.1782 | 0.0661 | 0.1782 | 0.0165 | 2,666 |
1190
+ | Laguna-S-2.1-NVFP4 [6] | 0.1840 | 0.0711 | 0.1841 | 0.0135 | 2,561 |
1191
+
1192
+ Per encoding instruction, marginalised over every encoder and decoder:
1193
+
1194
+ | Encoding instruction | Mean | Std | N |
1195
+ |---|---|---|---|
1196
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.1149 | 0.0574 | 3,108 |
1197
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.1861 | 0.0351 | 2,704 |
1198
+ | Reformat this text into a sensible, structured JSON object. | 0.1272 | 0.0459 | 3,320 |
1199
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.2560 | 0.0542 | 2,835 |
1200
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.1876 | 0.0424 | 3,120 |
1201
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.2146 | 0.0290 | 3,168 |
1202
+
1203
+ ### MoverScore distance to the source (`moverscore`)
1204
+
1205
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
1206
+
1207
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
1208
+ |---|---|---|---|---|---|---|
1209
+ | granite-4.2-30b-nvfp4 [0] | 0.6318 | 0.1461 | 0.6318 | 0.0138 | 2,017 | 7 |
1210
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6028 | 0.1718 | 0.6030 | 0.0155 | 2,023 | 7 |
1211
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 0.6854 | 0.1031 | 0.6854 | 0.0120 | 2,013 | 7 |
1212
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.6506 | 0.1194 | 0.6507 | 0.0134 | 2,048 | 7 |
1213
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.6590 | 0.1166 | 0.6591 | 0.0122 | 2,020 | 7 |
1214
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.6786 | 0.0804 | 0.6787 | 0.0103 | 2,043 | 7 |
1215
+ | Laguna-S-2.1-NVFP4 [6] | 0.6628 | 0.1256 | 0.6629 | 0.0106 | 2,014 | 7 |
1216
+ | claude-sonnet-5 [8] | 0.6204 | 0.1298 | 0.6204 | 0.0169 | 2,038 | 7 |
1217
+ | gpt-5.6-terra [9] | 0.6116 | 0.1394 | 0.6117 | 0.0201 | 2,039 | 7 |
1218
+
1219
+ ![MoverScore distance to the source per encoder](ENC_moverscore.png)
1220
+
1221
+ Encoder x decoder cell means:
1222
+
1223
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
1224
+ |---|---|---|---|---|---|---|---|
1225
+ | granite-4.2-30b-nvfp4 [0] | 0.6398 | 0.6236 | 0.6445 | 0.6099 | 0.6320 | 0.6206 | 0.6524 |
1226
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6014 | 0.5857 | 0.6152 | 0.5827 | 0.6191 | 0.5925 | 0.6242 |
1227
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.6869 | 0.6755 | 0.6945 | 0.6657 | 0.6945 | 0.6783 | 0.7026 |
1228
+ | Qwen3.8-27B-AWQ-INT4 [3] | 0.6543 | 0.6371 | 0.6604 | 0.6338 | 0.6646 | 0.6370 | 0.6678 |
1229
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.6596 | 0.6495 | 0.6692 | 0.6399 | 0.6701 | 0.6497 | 0.6757 |
1230
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.6788 | 0.6698 | 0.6838 | 0.6698 | 0.6859 | 0.6658 | 0.6970 |
1231
+ | Laguna-S-2.1-NVFP4 [6] | 0.6624 | 0.6487 | 0.6714 | 0.6501 | 0.6721 | 0.6572 | 0.6781 |
1232
+ | claude-sonnet-5 [8] | 0.6229 | 0.6052 | 0.6277 | 0.6033 | 0.6350 | 0.6003 | 0.6487 |
1233
+ | gpt-5.6-terra [9] | 0.6207 | 0.5944 | 0.6271 | 0.5884 | 0.6202 | 0.5878 | 0.6436 |
1234
+
1235
+ ![MoverScore distance to the source encoder x decoder](MATRIX_moverscore.png)
1236
+
1237
+ Per decoder, marginalised over every encoder (for contrast):
1238
+
1239
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1240
+ |---|---|---|---|---|---|
1241
+ | granite-4.2-30b-nvfp4 [0] | 0.6473 | 0.1266 | 0.6474 | 0.0268 | 2,482 |
1242
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | 0.6322 | 0.1336 | 0.6322 | 0.0303 | 2,625 |
1243
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.6549 | 0.1239 | 0.6549 | 0.0260 | 2,671 |
1244
+ | ❗ Qwen3.8-27B-AWQ-INT4 [3] | 0.6271 | 0.1450 | 0.6271 | 0.0305 | 2,634 |
1245
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | 0.6549 | 0.1188 | 0.6548 | 0.0270 | 2,616 |
1246
+ | gemma-4-31B-it-AWQ-4bit [5] | 0.6322 | 0.1299 | 0.6321 | 0.0315 | 2,666 |
1247
+ | ✔️ Laguna-S-2.1-NVFP4 [6] | 0.6655 | 0.1334 | 0.6656 | 0.0242 | 2,561 |
1248
+
1249
+ Per encoding instruction, marginalised over every encoder and decoder:
1250
+
1251
+ | Encoding instruction | Mean | Std | N |
1252
+ |---|---|---|---|
1253
+ | ❗ Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | 0.5136 | 0.1551 | 3,108 |
1254
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | 0.6846 | 0.0623 | 2,704 |
1255
+ | Reformat this text into a sensible, structured JSON object. | 0.5584 | 0.1240 | 3,320 |
1256
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 0.7634 | 0.0837 | 2,835 |
1257
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | 0.6543 | 0.0692 | 3,120 |
1258
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 0.7142 | 0.0390 | 3,168 |
1259
+
1260
+ ### Reranker distance to the source (`reranker`)
1261
+
1262
+ Per encoder, marginalised over every decoder. `Pooled Mean` weights every kept row equally; `Decoder Balanced Mean` is the mean of the per-decoder means, and `Spread Across Decoders` their standard deviation.
1263
+
1264
+ | Encoder | Pooled Mean | Pooled Std | Decoder Balanced Mean | Spread Across Decoders | N | Decoders |
1265
+ |---|---|---|---|---|---|---|
1266
+ | granite-4.2-30b-nvfp4 [0] | -1.9931 | 6.0803 | -2.0271 | 2.1146 | 2,017 | 7 |
1267
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | -1.7876 | 6.4575 | -1.8051 | 1.8821 | 2,023 | 7 |
1268
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 1.8343 | 6.7894 | 1.7986 | 1.9136 | 2,013 | 7 |
1269
+ | Qwen3.8-27B-AWQ-INT4 [3] | -1.6688 | 5.8839 | -1.6815 | 2.1851 | 2,048 | 7 |
1270
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | -0.4640 | 6.3430 | -0.4909 | 2.0717 | 2,020 | 7 |
1271
+ | gemma-4-31B-it-AWQ-4bit [5] | -0.6061 | 5.8655 | -0.6185 | 2.2919 | 2,043 | 7 |
1272
+ | Laguna-S-2.1-NVFP4 [6] | -0.4634 | 6.3073 | -0.4826 | 1.9459 | 2,014 | 7 |
1273
+ | claude-sonnet-5 [8] | -2.7594 | 5.5749 | -2.7809 | 2.0750 | 2,038 | 7 |
1274
+ | ❗ gpt-5.6-terra [9] | -3.4418 | 5.7955 | -3.4548 | 2.1491 | 2,039 | 7 |
1275
+
1276
+ ![Reranker distance to the source per encoder](ENC_reranker.png)
1277
+
1278
+ Encoder x decoder cell means:
1279
+
1280
+ | Encoder \ Decoder | granite-4.2-30b-nvfp4 [0] | Ornith-1.5-35B-A3B-NVFP4 [1] | Llama-3.3-70B-Instruct-NVFP4 [2] | Qwen3.8-27B-AWQ-INT4 [3] | Mistral-Small-4-119B-2603-NVFP4 [4] | gemma-4-31B-it-AWQ-4bit [5] | Laguna-S-2.1-NVFP4 [6] |
1281
+ |---|---|---|---|---|---|---|---|
1282
+ | granite-4.2-30b-nvfp4 [0] | -2.9872 | -3.8632 | 2.9989 | -2.3861 | -3.1653 | -2.2301 | -2.5569 |
1283
+ | Ornith-1.5-35B-A3B-NVFP4 [1] | -2.8964 | -3.4596 | 2.6671 | -2.3179 | -2.2910 | -2.3973 | -1.9409 |
1284
+ | Llama-3.3-70B-Instruct-NVFP4 [2] | 0.4150 | 0.0829 | 6.2713 | 1.3993 | 1.0511 | 1.8009 | 1.5697 |
1285
+ | Qwen3.8-27B-AWQ-INT4 [3] | -2.8290 | -3.7474 | 3.4932 | -2.0536 | -2.2046 | -2.4160 | -2.0132 |
1286
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | -1.7513 | -2.5116 | 4.3805 | -0.9309 | -0.8193 | -0.8764 | -0.9273 |
1287
+ | gemma-4-31B-it-AWQ-4bit [5] | -1.4618 | -2.8054 | 4.8353 | -1.0130 | -1.2538 | -1.2923 | -1.3384 |
1288
+ | Laguna-S-2.1-NVFP4 [6] | -1.6698 | -2.3852 | 4.0789 | -0.7677 | -1.0757 | -0.9518 | -0.6068 |
1289
+ | claude-sonnet-5 [8] | -3.3729 | -4.7251 | 2.1394 | -3.7727 | -3.0359 | -3.5779 | -3.1211 |
1290
+ | gpt-5.6-terra [9] | -4.1568 | -5.1910 | 1.7251 | -4.3837 | -3.9796 | -4.2069 | -3.9907 |
1291
+
1292
+ ![Reranker distance to the source encoder x decoder](MATRIX_reranker.png)
1293
+
1294
+ Per decoder, marginalised over every encoder (for contrast):
1295
+
1296
+ | Decoder | Pooled Mean | Pooled Std | Encoder Balanced Mean | Spread Across Encoders | N |
1297
+ |---|---|---|---|---|---|
1298
+ | granite-4.2-30b-nvfp4 [0] | -2.3174 | 5.6882 | -2.3011 | 1.2684 | 2,482 |
1299
+ | ❗ Ornith-1.5-35B-A3B-NVFP4 [1] | -3.1828 | 5.7025 | -3.1784 | 1.4592 | 2,625 |
1300
+ | ✔️ Llama-3.3-70B-Instruct-NVFP4 [2] | 3.6210 | 5.9929 | 3.6211 | 1.3494 | 2,671 |
1301
+ | Qwen3.8-27B-AWQ-INT4 [3] | -1.8037 | 5.9939 | -1.8029 | 1.6302 | 2,634 |
1302
+ | Mistral-Small-4-119B-2603-NVFP4 [4] | -1.8647 | 6.2847 | -1.8638 | 1.4308 | 2,616 |
1303
+ | gemma-4-31B-it-AWQ-4bit [5] | -1.7910 | 5.8269 | -1.7942 | 1.6557 | 2,666 |
1304
+ | Laguna-S-2.1-NVFP4 [6] | -1.6686 | 6.1229 | -1.6584 | 1.5186 | 2,561 |
1305
+
1306
+ Per encoding instruction, marginalised over every encoder and decoder:
1307
+
1308
+ | Encoding instruction | Mean | Std | N |
1309
+ |---|---|---|---|
1310
+ | Create a detailed dictionary that fully describes all the meaningful phrases and words thi... | -5.2104 | 3.6907 | 3,108 |
1311
+ | Envision the scenario in which the author wrote this text. Describe that scenario in exhau... | -2.3215 | 4.9092 | 2,704 |
1312
+ | ❗ Reformat this text into a sensible, structured JSON object. | -5.5315 | 3.4234 | 3,320 |
1313
+ | ✔️ Translate the entirety of this text into a sequence of emojis that captures the literal me... | 7.0536 | 6.1041 | 2,835 |
1314
+ | Write a detailed descriptor for how this text is stylistically differentiated from other t... | -2.0842 | 4.5451 | 3,120 |
1315
+ | Write a detailed descriptor for the (imaginary) personality of the author who wrote this t... | 1.3351 | 4.9330 | 3,168 |
1316