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DRPG (Decompose, Retrieve, Plan, Generate): An Agentic Framework for Academic Rebuttal

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学术前沿 3.2 分 — Moderate AI relevance +novelty(1) +practical(2)
原文: cs.LG updates on arXiv.org

评分 3.2 · 来源:cs.LG updates on arXiv.org · 发布于 2026-04-15

评分依据:Moderate AI relevance +novelty(1) +practical(2)

arXiv:2601.18081v2 Announce Type: replace Abstract: Despite the growing adoption of large language models (LLMs) in scientific research workflows, automated support for academic rebuttal, a crucial step in academic communication and peer review, remains largely underexplored. Existing approaches typically rely on off-the-shelf LLMs or simple pipelines, which struggle with long-context understanding and often fail to produce targeted and persuasive responses. In this paper, we propose DRPG, an…