LigBench: A Unified and Human-Aligned Benchmark for LLM-based Research Idea Generation

With the rapid advancement of large language models (LLMs), research idea generation has attracted increasing attention. Existing approaches enable LLMs to retrieve relevant literature and propose novel ideas for research areas. However, current evaluation practices for idea generation remain fragmented and lack objective standards, often relying on direct LLM scoring, which limits their ability to provide unified and reliable assessments across a coherent distribution of generated ideas. To add

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ethics.ai (13 August 2026), “LigBench: A Unified and Human-Aligned Benchmark for LLM-based Research Idea Generation,” evidence record 19179, https://ethics.ai/record/19179 (originally published by arXiv).

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