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Zijian Wang

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#artificial intelligence Preprint Sep 2026

E2E-SWE: Benchmarking LLMs on Building Working Codebases from Scratch

E2E-SWE is introduced, a benchmark for evaluating whether coding agents can build complete, functional software repositories end to end and finds substantial variation in end-to-end repository generation ability, providing strong model differentiation while leaving considerable headroom for future progress.

Hantian Ding, Chloe Bi, Jia-Cheng Zhu 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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