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LLMs Struggle in Clue Reasoning Test

LLMs Struggle in Clue Reasoning Test
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πŸ“„Read original on ArXiv AI
#deductive-reasoning#llm-benchmark#game-eval#fine-tuningclue-llm-testbedgpt-4o-minigemini-2.5-flasharxiv

πŸ’‘LLMs win just 4/18 Clue games: key insights on reasoning failures

⚑ 30-Second TL;DR

What Changed

Text-based Clue game as rule-based testbed for multi-step reasoning

Why It Matters

This exposes critical gaps in LLM reasoning for long-horizon tasks, urging better evaluation methods for AI agents. Developers should prioritize chain-of-thought improvements beyond simple fine-tuning.

What To Do Next

Download arXiv paper 2603.17169 to replicate Clue testbed for your LLM agents.

Who should care:Researchers & Academics

Key Points

  • β€’Text-based Clue game as rule-based testbed for multi-step reasoning
  • β€’GPT-4o-mini and Gemini-2.5-Flash agents won only 4/18 games correctly
  • β€’Fine-tuning on logic puzzles fails to improve gameplay reliably
  • β€’Agents struggle with consistent deduction over full games
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