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cs.CL2025
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
Mingxuan Li, Hanchen Li, Chenhao Tan
Large language models (LLMs) have demonstrated great potential for automating the evaluation of natural language generation. Previous frameworks of LLM-as-a-judge fall short in two…
cs.AI2025★ 1 cited
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
Haokun Liu, Sicong Huang, Jingyu Hu +2
There is growing interest in hypothesis generation with large language models (LLMs). However, fundamental questions remain: what makes a good hypothesis, and how can we systematic…