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Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery

Research LLMs & Foundation Models

Merged summary

TL;DR - HypoArena benchmarks whether LLMs can generate grounded, discriminative, and testable hypotheses from inconclusive evidence. It targets the underexplored pre-conclusion phase of scientific and analytical discovery.

  • HypoData contains 988 cases spanning six scientific and analytical domains.
  • A Forge–Audit pipeline reconstructs open-ended contexts from expert documents while removing conclusions and causal attributions.
  • HypoEval combines pairwise arena judgments and Bradley–Terry–Davidson rankings with a six-dimensional diagnostic rubric.
  • Tests on 15 frontier LLMs reveal clear capability differences; structured analytical skills help some models but degrade others.

Sources (1)

Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery

arXiv cs.CL Tianyun Zhong, Wangyi Jiang, Wei Wang, Xuanang Chen, Yaojie Lu, Shiwei Ye, Yuzhen Shi, Boyu Yang, Jinghang Wang, Han Li, Weiqi Zhai, Bing Zhao, Hu Wei, Haiyang Yu, Yongbin Li, Hongyu Lin, Le Sun, Xianpei Han 2026-07-17 arXiv:2607.15766

TL;DR - HypoArena benchmarks whether LLMs can generate grounded, discriminative, and testable hypotheses from inconclusive evidence. It targets the underexplored pre-conclusion phase of scientific and analytical discovery.

  • HypoData contains 988 cases spanning six scientific and analytical domains.
  • A Forge–Audit pipeline reconstructs open-ended contexts from expert documents while removing conclusions and causal attributions.
  • HypoEval combines pairwise arena judgments and Bradley–Terry–Davidson rankings with a six-dimensional diagnostic rubric.
  • Tests on 15 frontier LLMs reveal clear capability differences; structured analytical skills help some models but degrade others.
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