Ours-Probe raw — LLaVA-1.5-7B

This release contains the image-conditioned (h_image) Ours-Probe trained on COCO captions. It replaces the earlier contrastive (h_image - h_no_image) release. The three checkpoints are independent; do not ensemble them.

Configuration

Setting Value
Backbone llava-hf/llava-1.5-7b-hf
Probe input Raw image-conditioned hidden states, no subtraction
Decoder layers used by the probe 16,20,24,28 (zero-based)
Cache layers 0,4,8,12,16,20,24,28,31
Head One MLP per selected layer; mean of sigmoid probabilities
MLP 4096 → 256 → 256 → 1; GELU and LayerNorm after each hidden layer
Training seeds 0,42,1337
Optimizer AdamW, learning rate 3e-4, weight decay 0.05
Batch / maximum epochs 256 / 20
Loss Positive-class-weighted BCE with 0.01 label smoothing
Checkpoint selection Highest validation within-object AUROC

The COCO corpus has 8,000 training-pool images and a separate 2,000-image holdout. Of the training pool, 7,979 images yield 52,756 object mentions. An image-disjoint 20% of those usable images is reserved for validation. The holdout cache contains 13,396 object mentions. Captions use the prompt Please describe this image in detail.

Seed Selected epoch Validation-best-F1 threshold
0 20 0.7389142513275146
42 17 0.7845199108123779
1337 20 0.8478354811668396

These thresholds are for detection. The caption-mitigation threshold must be selected separately from the COCO-validation truthfulness–recall sweep.

COCO holdout detection

All three seeds were scored on the same 13,396 mentions. Mean ± sample SD, in percent:

AUROC AUPRC Accuracy F1
96.11 ± 0.02 84.75 ± 0.13 91.23 ± 0.12 77.56 ± 0.25

Files

  • checkpoints/: the three raw, independent-mean checkpoints.
  • cache/coco/train/: image-conditioned features for the COCO training pool.
  • cache/coco/holdout/: image-conditioned features for the untouched holdout.
  • predictions/coco_holdout/: one holdout prediction file per seed.
  • metadata/release_manifest.json: exact source hashes, split counts, and checkpoint selection details.

The cache stores more decoder layers than the four used by this probe so that future layer studies can reuse the same complete raw cache. The original holdout cache manifest mistakenly said mode: train; this release corrects that metadata to mode: holdout without changing the feature payload.

AMBER and POPE caches are not included. AMBER caches predating the seed-42 image split must be rebuilt.

Training and scoring code: hallucination.

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