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John Yang

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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
Preprint Jul 2026

Code Monitor Red Teaming for Public-Test-Passing Code

This work introduces Code Monitor Red Teaming, a monitor-red-teaming protocol that fixes a public-check information boundary while varying generator pressure, verifier scaffolding, and weak-to-strong capability.

Jun-Hui Liao, Jiawen Deng, Fuji Ren et al. · 0 citations

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