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cs.LG2026

Teacher-Guided Tool Learning for Small Language Models via Bidirectional KL Constraints

Haoxuan Gao, Qin-Wen Luo, Xiang Chen +5

External tools can extend the capabilities of small language models (SLMs), enabling their deployment in resource constrained environments. However, their limited capabilities make…

cs.AI2026

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control

Shengtao Wen, Xiang Chen, Yu Tian +3

World-model controllers rely on action-conditioned dynamics for prediction and planning, yet real control systems often execute commands asynchronously due to communication delay,…

cs.LG2026

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

Shengtao Wen, Yunying Yang, Xiang Chen +3

Privacy-preserving continual learning (PPCL) must reduce the reproduction of sensitive content while retaining useful knowledge across sequential tasks. Formal privacy guarantees c…

cs.CR2026

SafeThinker: Reasoning about Risk to Deepen Safety Beyond Shallow Alignment

Xianya Fang, Xianying Luo, Yadong Wang +8

Despite the intrinsic risk-awareness of Large Language Models (LLMs), current defenses often result in shallow safety alignment, rendering models vulnerable to disguised attacks (e…

cs.LG2026

Beyond Superficial Unlearning: Sharpness-Aware Robust Erasure of Hallucinations in Multimodal LLMs

Xianya Fang, Feiyang Ren, Xiang Chen +4

Multimodal LLMs are powerful but prone to object hallucinations, which describe non-existent entities and harm reliability. While recent unlearning methods attempt to mitigate this…