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cs.AI2026
From Judgment Quality to Downstream Utility: Rethinking LLM-as-a-Judge for Open-Ended Tasks
Zheng Zhang, Lufei Li, Xinyue Tan +4
LLM-as-a-Judge is increasingly used to evaluate policy responses on open-ended tasks that lack ground-truth answers. Existing work often directly converts the resulting judgments i…
cs.AI2024
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models
Yuanhao Zeng, Fei Ren, Xinpeng Zhou +2
Although instruction tuning is widely used to adjust behavior in Large Language Models (LLMs), extensive empirical evidence and research indicates that it is primarily a process wh…