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20222026
most citedA Comprehensive Study of Knowledge Editing for Large Language Models

21 citations · 45 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence

Mengru Wang, Junfeng Fang, Shuofei Qiao +17

AI models are increasingly used in scientific discovery and human decision-making. Yet how AI models work and what risks they pose remain poorly understood. As AI development becom…

cs.CL2026

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Yu Xia, Zhouhang Xie, Xin Xu +4

Large language models improve final-answer accuracy through extended chain-of-thought reasoning, but often spend tokens inefficiently and offer little inference-time control. Exist…

cs.AI2026★ 1 cited

SkillNet: Create, Evaluate, and Connect AI Skills

Yuan Liang, Ruobin Zhong, Haoming Xu +47

Current AI agents can flexibly invoke tools and execute complex tasks, yet their long-term advancement is hindered by the lack of systematic accumulation and transfer of skills. Wi…

cs.LG2026

CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning

Boyang Wang, Yash Vishe, Xin Xu +4

Natural language information needs over symbolic music scores rarely reduce to a single step lookup. Many queries require compositional Music Information Retrieval (MIR) that extra…

cs.AI2026

ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces

Xin Xu, Tong Yu, Xiang Chen +3

Recent work explores latent reasoning to improve reasoning efficiency by replacing explicit reasoning trajectories with continuous representations in a latent space, yet its effect…