[2603.03142] APRES: An Agentic Paper Revision and Evaluation System

Computer Science > Computation and Language arXiv:2603.03142 (cs) [Submitted on 3 Mar 2026] Title:APRES: An Agentic Paper Revision and Evaluation System Authors:Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach View a PDF of the paper titled APRES: An Agentic Paper Revision and Evaluation System, by Bingchen Zhao and 10 other authors View PDF HTML (experimental) Abstract:Scientific discoveries must be communicated clearly to realize their full potential. Without effective communication, even the most groundbreaking findings risk being overlooked or misunderstood. The primary way scientists communicate their work and receive feedback from the community is through peer review. However, the current system often provides inconsistent feedback between reviewers, ultimately hindering the improvement of a manuscript and limiting its potential impact. In this paper, we introduce a novel method APRES powered by Large Language Models (LLMs) to update a scientific papers text based on an evaluation rubric. Our automated method discovers a rubric that is highly predictive of future citation counts, and integrate it with APRES in an automated system that revises papers to enhance their quality and impact. Crucially, this objective should be met without altering the core scientific content. We demonstrate the success of APRES, which improves future citation...