Rename to Lotus in README

README.md

@@ -134,7 +134,7 @@ Every eval writes `<task>_test_predictions.jsonl` with
 |---|---:|---:|---:|---:|---:|---:|
 | sp joint-5task | 54.4 | 72.7 | 37.6 | 52.1 | 38.6 | 68.4 |
 | flamingo joint-5task | 62.6 | 70.4 | 31.1 | 54.7 | 12.4 | 3.0 |
-| **softprompt-fixpos2d joint-5task (ours)** | 58.4 | 70.5 | 33.9 | 49.2 | 33.5 | 74.5 |
+| **Lotus joint-5task (ours)** | 58.4 | 70.5 | 33.9 | 49.2 | 33.5 | 74.5 |
 | sp sequential-curriculum | 1.5 | 0.0 | 17.0 | 0.0 | 41.4 | 70.5 |
 | flamingo sequential-curriculum | 3.8 | 0.0 | 5.4 | 10.3 | 20.0 | 4.9 |
 | tokenized zero-shot (1b) | 0.0 | 0.0 | 0.0* | 0.0 | 5.8 | 10.3 |
@@ -147,7 +147,7 @@ HAR 28.3 / Sleep 45.3 / ECG 19.3 / PAMAP2 12.8 / MCQ 43.3 / T-F 59.3.
 
 | file | note |
 |---|---|
-| `softprompt-fixpos2d_gemma-3-270m_joint-5task-finetune.pt` | our model: patch encoder (patch 32, freq branch) + projector into a frozen gemma-3-270m with LoRA r=4/alpha=8. 1.9M trainable. Phase-2 best by generative EM, epoch 11, val loss 0.714. Load exactly as the `sp joint-5task` baseline but with `--enc_dec_type mlp --use_freq_embed --pe_type sincos --pe_base_c 10 --patch_size 32` (the checkpoint also carries `encoder_geometry` for verification). |
+| `lotus_gemma-3-270m_joint-5task-finetune.pt` | our model: patch encoder (patch 32, freq branch) + projector into a frozen gemma-3-270m with LoRA r=4/alpha=8. 1.9M trainable. Phase-2 best by generative EM, epoch 11, val loss 0.714. Load exactly as the `sp joint-5task` baseline but with `--enc_dec_type mlp --use_freq_embed --pe_type sincos --pe_base_c 10 --patch_size 32` (the checkpoint also carries `encoder_geometry` for verification). |
 | `best_model.pt` | legacy artifact (April 2026, predates this benchmark); not part of the table |
 
 Questions: Dai (daidv1112) — training logs, per-epoch curves, launch scripts