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cs.CL2025
Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning
Qihuang Zhong, Liang Ding, Fei Liao +3
Domain-specific instruction-tuning has become the defacto standard for improving the performance of large language models (LLMs) in specialized applications, e.g., medical question…
cs.CL2025★ 1 cited
Model Hemorrhage and the Robustness Limits of Large Language Models
Ziyang Ma, Zuchao Li, Lefei Zhang +4
Large language models (LLMs) demonstrate strong performance across natural language processing tasks, yet undergo significant performance degradation when modified for deployment t…