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cs.AI2026
LongGuard: Mechanistic Analysis and Training-Free Mitigation of Long-Context Failure in Safety Guardrails
Ziyang Chen, Xing Wu, Songlin Hu
Safety guardrails serve as the last line of defense against harmful inputs and outputs of large language models (LLMs), yet they are trained and evaluated almost exclusively on sho…
cs.AI2025
Libra: Large Chinese-based Safeguard for AI Content
Ziyang Chen, Huimu Yu, Xing Wu +2
Large language models (LLMs) excel in text understanding and generation but raise significant safety and ethical concerns in high-stakes applications. To mitigate these risks, we p…
cs.AI2024
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
Huimu Yu, Xing Wu, Haotian Xu +2
Large language models (LLMs) have made significant progress in natural language understanding and generation, driven by scalable pretraining and advanced finetuning. However, enhan…