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cs.CL2025
User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal
Yuhan Liu, Michael J. Q. Zhang, Eunsol Choi
Once language models (LMs) are deployed, they can interact with users long-term, ideally evolving based on their feedback. Asking for direct user feedback can be disruptive; thus,…
cs.CL2025
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael J. Q. Zhang, Eunsol Choi
Using language models to scalably approximate human preferences on text quality (LLM-as-a-judge) has become a standard practice applicable to many tasks. A judgment is often extrac…