EMem-Bench - Interaction Failure: leaderboard

The Interaction Failure family of EMem-Bench (Liang et al., 2026): after a long history of household activity in AI2-THOR and ProcTHOR homes, the agent must avoid an object that an earlier failed action showed to be unusable and choose a working alternative. Success rate in percent over 263 episodes, with the full history given as text and at most eight action steps; higher is better.

Metric: Success rate (%; the 263 Interaction Failure episodes, avoiding a target that an earlier failed action showed to be unusable; full-context condition: the complete interaction history as sanitized text plus the current 500 x 500 RGB view, one primitive action per call with deterministic decoding and at most eight target-task steps in AI2-THOR and ProcTHOR homes; an episode succeeds only if the simulator reaches the target terminal state). Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash60.5#159
2Gemini 2.5 Pro55.1#262
3Qwen 3.6 27B54.4#339
4GPT-5.451#121
5Qwen 3 VL 32B Instruct45.3#582
6InternVL3-38B29.3#905
7Qwen 3 VL 4B Instruct20.9#1281
8GPT-5.4 Mini19#389
9Qwen 3 VL 8B Instruct11.8#982
10Mistral Small 3.111.8#1699
11InternVL3-8B5.3#1695

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

Interactive version: theaggregate.ai/benchmark?slug=emem-bench-interaction-failure · How It Works · Data refreshed daily, snapshot 2026-11-12.