[2508.20729] Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision

[2508.20729] Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision

arXiv - AI 4 min read

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Abstract page for arXiv paper 2508.20729: Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision

Computer Science > Artificial Intelligence arXiv:2508.20729 (cs) [Submitted on 28 Aug 2025 (v1), last revised 2 Mar 2026 (this version, v2)] Title:Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision Authors:Ao Cheng, Lei Zhang, Guowei He View a PDF of the paper titled Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision, by Ao Cheng and 1 other authors View PDF Abstract:Large language models (LLMs) serve as an active and promising field of generative artificial intelligence and have demonstrated abilities to perform complex tasks in multiple domains, including mathematical and scientific reasoning. In this work, we construct a novel agent framework for solving representative problems in scientific computing. The proposed agent, incorporating a "rewriting-resolution-review-revision" logical chain via three reasoning LLMs (functioning as the Consultant, Reviewer, and Programmer, respectively), is integrated in a collaborative and interactive manner. The Consultant module endows the agent with knowledge transfer capabilities to link problems to professional domain insights, thereby rewriting problem descriptions through text augmentation. The Programmer module is responsible for generating and executing well-structured code to deliver the problem resolution. The Reviewer module equips the agent with the capacity for self-debugging and self-refinement through interactive feedback with code runtime outputs. By leveraging th...

Originally published on March 03, 2026. Curated by AI News.

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