5 citations · 8 across the 14 of their papers we have counts for
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cs.CL2024
No Preference Left Behind: Group Distributional Preference Optimization
Binwei Yao, Zefan Cai, Yun-Shiuan Chuang +4
Preferences within a group of people are not uniform but follow a distribution. While existing alignment methods like Direct Preference Optimization (DPO) attempt to steer models t…
cs.CL2024
Large Language Models Are Active Critics in NLG Evaluation
Shuying Xu, Junjie Hu, Ming Jiang
The conventional paradigm of using large language models (LLMs) for natural language generation (NLG) evaluation relies on pre-defined task definitions and evaluation criteria, pos…
cs.CL2024★ 1 cited
How Well Do LLMs Identify Cultural Unity in Diversity?
Jialin Li, Junli Wang, Junjie Hu +1
Much work on the cultural awareness of large language models (LLMs) focuses on the models' sensitivity to geo-cultural diversity. However, in addition to cross-cultural differences…