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Jifan Chen

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#machine learning Preprint Oct 2026

ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs

Rapid advances in large language models have made software engineering agents capable of tackling complex coding tasks. Within a containerized environment, a coding agent receives tool responses or execution results, and determines its later actions by those earlier results. However, most existing coding agents never l...

Yi-Rou Ge, Kang-Rui Ruan, Ji-Fan Chen et al. · 0 citations

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks

JAWS-BENCH(Jailbreaks Across WorkSpaces), a benchmark spanning three escalating workspace regimes mirroring attacker capability, is presented, indicating that JAWS-BENCH can be reused across multiple agent frameworks.

Shoumik Saha, Jifan Chen, Sam Mayers et al. · 8 citations · ⚡2

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