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cs.CL2026
Beyond "I cannot fulfill this request": Alleviating Rigid Rejection in LLMs via Label Enhancement
Ying Zhang, Congyu Qiao, Xin Geng +1
Large Language Models (LLMs) rely on safety alignment to obey safe requests while refusing harmful ones. However, traditional refusal mechanisms often lead to "rigid rejection," wh…
cs.CL2026
Chain-based Distillation for Effective Initialization of Variable-Sized Small Language Models
Boyu Shi, YiCheng Jiang, Chang Liu +3
Large language models (LLMs) achieve strong performance but remain costly to deploy in resource-constrained settings. Training small language models (SLMs) from scratch is computat…
cs.AI2026
MagicAgent: Towards Generalized Agent Planning
Xuhui Ren, Shaokang Dong, Chen Yang +21
The evolution of Large Language Models (LLMs) from passive text processors to autonomous agents has established planning as a core component of modern intelligence. However, achiev…