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cs.AI2026
LLM Detoxification via Transition-Aware Reward-Guided Representation Sampling
Aishan Liu, Yisong Xiao, Xianglong Liu +7
Large Language Models (LLMs) can generate toxic content, motivating effective test-time detoxification. Existing representation steering methods often rely on static or coarse inte…
cs.AI2026
Improving Safety Alignment via Balanced Direct Preference Optimization
Shiji Zhao, Mengyang Wang, Shukun Xiong +7
With the rapid development and widespread application of Large Language Models (LLMs), their potential safety risks have attracted widespread attention. Reinforcement Learning from…