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cs.CL2026
ICLHerd: Herding-Based Data Selection for LLMs with In-Context Learning as a Proxy
Yuqiao Wen, Lili Mou
Data selection plays a central role in modern large language model training, as the quality of training data strongly influences downstream performance. A common approach is to cur…
cs.CL2026
Multi-Persona Thinking for Bias Mitigation in Large Language Models
Yuxing Chen, Guoqing Luo, Zijun Wu +1
Large Language Models (LLMs) exhibit social biases, which can lead to harmful stereotypes and unfair outcomes. We propose \textbf{Multi-Persona Thinking (MPT)}, a simple inference-…