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cs.CL2026
Stopping and Routing LLM Judge Panels
Bin Zhu, Yi Xie, Yanghui Rao
LLM evaluation pipelines often have many candidate judges: general LLM-as-a-judge prompts, reward models, safety classifiers, confidence variants, and task-specific verifiers. The…
cs.CL2024
IterSelectTune: An Iterative Training Framework for Efficient Instruction-Tuning Data Selection
Jielin Song, Siyu Liu, Bin Zhu +1
As large language models (LLMs) continue to advance, instruction tuning has become critical for improving their ability to generate accurate and contextually appropriate responses.…