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标题为英语Auditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation
Multi-agent systems built on large language models (LLMs) are increasingly applied to scientific discovery and hypothesis generation. Both the effect of refinement and the diversity of the delivered set are hard to interpret before experimental ground truth exists, and both are…
arXiv — cs.AI作者: Ji Young Byun, Anthony Hu, Jesse Rogers, Roujia Wang, Manasa Kesapragada, Falgun Shah2026年10月6日 (10月6日)
提供 1 种语言版本AI 摘要：要点
- Multi-agent systems built on large language models (LLMs) are increasingly applied to scientific discovery and hypothesis generation
- Both the effect of refinement and the diversity of the delivered set are hard to interpret before experimental ground truth exists, and both are…
Research
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Auditing Pairwise Equivalence Judgments: Self-Critique Effects and Diversity Measurement in Multi-Agent Hypothesis Generation
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