Mengyuan Sun — accepted AI-conference papers

2026

What Do Agents Learn from Trajectory-SFT: Semantics or Interfaces?

Weizheng Gu, Chengze Li, Zhuohao Yu, Mengyuan Sun, Zhibang Yang, Wei Wang +3

ICML 2026spotlight

Large language models are increasingly evaluated as interactive agents, yet standard agent benchmarks conflate two qualitatively distinct sources of success: semantic tool-use and interface-specific interaction pattern memorization. Because both mechanisms can yield identical task success on the ori…

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2025

CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge

Yu Li, Qizhi Pei, Mengyuan Sun, Honglin Lin, Chenlin Ming, Xin Gao +3

ACL 2025finding

Large language models (LLMs) have demonstrated remarkable capabilities, especially the recent advancements in reasoning, such as o1 and o3, pushing the boundaries of AI. Despite these impressive achievements in mathematics and coding, the reasoning abilities of LLMs in domains requiring cryptographi…

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