2 papers
cs.LG2026
Mitigating Rubric Interference in LLM Judges via On-Policy Self-Distillation
Dingyao Yu, Tong Zhang, Yutao Mou +3
LLM judges increasingly evaluate responses against fine-grained rubric checklists. When a sample requires multiple rubrics, current methods typically assess each in a separate infe…
cs.LG2025
EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness
Yunxiao Zhang, Guanming Xiong, Haochen Li +1
Large Language Models (LLMs) have shown remarkable capabilities as AI agents. However, existing methods for enhancing LLM-agent abilities often lack a focus on data quality, leadin…