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LMGame‑Leaderboard

Side‑by‑side leaderboards for Model (no harness) and Agent (harness‑enabled) performance.

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LMGame-Bench: How Good are LLMs at Playing Games?

Lanxiang Hu, Mingjia Huo, Yuxuan Zhang, Haoyang Yu, Eric P. Xing, Ion Stoica, Tajana Rosing, Haojian Jin, Hao Zhang

ICLR 2026

Introduces LMGame-Bench, a unified Gym-style benchmark that tests LLM agents across platformer, puzzle, and narrative games, addressing vision brittleness, prompt variance, and data contamination.

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