Author

Chloe Bi

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#artificial intelligence Preprint Sep 2026

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

Coding agents powered by large language models (LLMs) are evolving from making localized code changes to developing complete software repositories. However, evaluating repository-scale generation remains challenging: tasks must demand system-level reasoning while ensuring that all evaluated behaviors are precisely spec...

Hantian Ding, Chloe Bi, Jia-Cheng Zhu et al. · 0 citations

Preprint Aug 2026

Language Equality has a Price: A Systematic Investigation of Multi-turn LLM Performance for EU-24+

Evaluating nine open-weight and commercial LLMs, it is found that no open-weight model covers the EU-24 well: in every official language both commercial systems outscore every open-weight model, and the two weakest average below 40 points across the EU-24.

Sherzod Hakimov, Karl Osswald, Eszter Jelle Psurek et al. · 0 citations