RoBench-25 (Awareness and Recovery Instructions) - No Trigger: leaderboard

RoBench-25 (Le Mercier, Develder and Demeester, 2026) tests whether a language model still answers true-or-false questions about a recent NeurIPS abstract when a hidden-state poisoning trigger and six distractor abstracts come between the abstract and the questions; 240 questions on 120 abstracts, each abstract the target once per run, with greedy decoding. Clipped Heidke skill score from 0 to 1 (chance-corrected accuracy), higher is better; this board is with no trigger (the clean prompt), with both the awareness and the recovery instruction.

Metric: Clipped Heidke skill score (0-1; chance-corrected accuracy on the 240 true-or-false questions about 120 NeurIPS 2025 abstracts, each prompt one target abstract, then the trigger if any, then six distractor abstracts, averaged over 120 random draws (pythia-2.8b pools two runs of 120); no trigger (the clean prompt); prompts with both the awareness and the recovery instruction; greedy decoding, at most 20 new tokens). Source: arxiv.org. Saturation forecast: Estimated already saturated. 4 models tracked.

Top models

#ModelScoreOverall rank
1SmolLM3-3B1#6555
2Jamba 1.7 Mini0.99#4808
3mamba-2.8B-hf0.21
4pythia-2.8B0

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=robench-25-awareness-and-recovery-instructions-no-trigger · How It Works · Data refreshed daily, snapshot 2026-11-13.