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Showing papers from University of Chicago & Argonne Nat Lab Show all papers

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NeurIPS 2026RutgersU Chicago & Argonne Nat LabSoftware engineering agents

Crafter: Towards Automated Reproducible Machine Learning via Agentic Code Generation

Fangru Linghu, Jackson R Ye, Jieying Wang, Alexandre V Morozov and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Argonne National LabArgonne Leadership Computing FacOregon StateArgonne National LaboratoryArgonne Leadership Computing FacMulti-agent LLM systems

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning

Mathematical reviewer precision does not ensure critique uptake in multi-agent reasoning, and peer discussion outperforms hierarchical reviewer pipelines on hard problems despite lower reviewer accuracy.

Chih-Hsuan Yang, Jingyan Jiang, Vikram Vasudevan, Cheng-Hau Yang and 7 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5