作者位次 #2/3ACL 2026Findings· Findings of ACL
Personalized Benchmarking: Evaluating LLM s by Individual Preferences
Cristina Garbacea · Heran Wang · Chenhao Tan
摘要
With the rise in capabilities of large language models (LLMs) and their deployment in real-world tasks, evaluating LLM alignment with human preferences has become an important challenge. Current benchmarks average preferences across all users to compute aggregate ratings, overlooking individual u...