Author

Zi-Jian Wang

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#artificial intelligence 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. · arXiv.org · 0 citations

#artificial intelligence Oct 2025

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. · Transactions of the Associat... · 8 citations · ⚡2

Preprint Aug 2026

StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models

The real-robot benchmark demonstrates that StellaVLA can use both human/robot demos and human-to-robot (XR) demos as in-context structured demonstration to help VLA model adapt to OOD tasks.

Siyu Xu, Yun-Ke Wang, Zi-Jian Wang et al. · 3 citations