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cs.CL2026
Towards Context-Invariant Safety Alignment for Large Language Models
Yixu Wang, Yang Yao, Xin Wang +4
Preference-based post-training aligns LLMs with human intent, yet safety behavior often remains brittle. A model may refuse a harmful request in a standard prompt but comply when t…
cs.CL2024★ 1 cited
Self-Selected Attention Span for Accelerating Large Language Model Inference
Tian Jin, Wanzin Yazar, Zifei Xu +2
Large language models (LLMs) can solve challenging tasks. However, their inference computation on modern GPUs is highly inefficient due to the increasing number of tokens they must…