2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
UXBench: Benchmarking User Experience in AI Assistants
Mengze Hong, Xia Zeng, Zeyang Lei +27
As AI assistants serve millions of users daily, evaluating user experience (UX) beyond general model capability has become increasingly important. We present \textbf{UXBench}, the…
cs.CL2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
Jian Li, Haojing Huang, Yujia Zhang +6
Recently, there has been significant interest in replacing the reward model in Reinforcement Learning with Human Feedback (RLHF) methods for Large Language Models (LLMs), such as D…
cs.CL2024★ 2 cited
ECLM: Entity Level Language Model for Spoken Language Understanding with Chain of Intent
Shangjian Yin, Peijie Huang, Jiatian Chen +2
Large Language Models (LLMs) have demonstrated impressive capabilities in language generation and general task performance. However, their application to spoken language understand…