Add COLM 2026 acceptance + describe Score-tab/email flow

README.md

@@ -26,6 +26,16 @@ configs:
 
 # EgoMemReason
 
+*Accepted at **COLM 2026**.*
+
+> **⚠️ Benchmark revision — v1.1 (2026-07-13).** The per-question option-letter mapping
+> in `annotations_public.jsonl` has been **reshuffled**. If you downloaded this dataset
+> **before 2026-07-13**, please **re-download** it before your next evaluation run — the
+> letters A–J now map to different option strings. Question text and the *set* of
+> option strings per question are unchanged, so previously published aggregate scores
+> remain valid; but any locally-stored letter-only predictions must be remapped (or the
+> model re-run) against the new mapping before submitting to the leaderboard.
+
 **A Memory-driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding.**
 
 500 multiple-choice questions over **week-long egocentric video** (built on [EgoLife](https://egolife-ai.github.io/)) that evaluate three complementary kinds of memory:
@@ -95,7 +105,8 @@ Note that **questions have 4-10 options** (letters A-J). The valid answer set fo
      ...
    ]
    ```
-5. Submit it on the leaderboard Space: <https://huggingface.co/spaces/Ted412/EgoMemReason>. Per-split + overall accuracy are computed automatically.
+5. **Score your model.** Anyone can score anonymously on the [Leaderboard Space](https://huggingface.co/spaces/Ted412/EgoMemReason) → **Score** tab: upload `submission.json` and get per-split + Overall accuracy against the held-out answer key. Nothing is stored and nothing is posted to the public leaderboard.
+6. **Ask to be listed.** To have your model appear on the public leaderboard, email your `submission.json` to <ziyangw@cs.unc.edu> along with your method name, team name, model size, video-input modality, a one-sentence method description, and any project / paper links. The maintainer re-scores against the private key, sanity-checks the metadata, and adds a row within ~5 business days. Every leaderboard entry is personally verified — there is no self-serve upload.
 
 The reference inference scripts for 12 MLLMs and 5 agentic frameworks (Gemini, GPT-5, Qwen3-VL, InternVL3.5, Molmo2, VideoLLaMA3, InternVideo2.5, LongVA, AVP, Ego-R1, SiLVR, WorldMM, …) live in the [GitHub repo](https://github.com/Ziyang412/EgoMemReason).