ActReview: Rebuttal-Guided Training Data and Rubric Rewards for Actionable Peer Review Generation
- 类型:arxiv
- 标识:2609.09076
- 链接:https://arxiv.org/abs/2609.09076
- 主分类:multimodal
- 形态:method
- 被引:1
- 被引来源:Semantic Scholar
- S2被引:1
- OpenAlex被引:0
- 影响力被引:0
- TLDR:This work introduces ActReview, a rebuttal-guided post-training framework that connects paper-specific diagnoses to concrete, grounded revision plans, and introduces ActReview-Bench, a human-curated benchmark of 1,000 instances for evaluating diagnostic quality and revision usefulness.
- OpenAlex ID:W7212022652
- OpenAlex DOI:10.48550/arxiv.2609.09076
- DOI:10.48550/arxiv.2609.09076
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://arxiv.org/pdf/2609.09076
- OpenAlex更新:2026-09-13
- 副分类:engineering
- 待LLM分类:否
- 标题中文:ActReview:基于反驳引导训练数据与评分量规奖励的可操作同行评审生成
- TLDR中文:引入 ActReview,一个由反驳引导的后训练框架,将论文特定的诊断连接到具体、有依据的修订计划,并引入 ActReview-Bench,一个包含 1,000 个实例的人工整理基准,用于评估诊断质量和修订实用性。
- 来源文件:
- /inbox/tom/_candidates/2026-09-12-agent-rag-longcontext-candidates.json
- [OpenAlex backfill]
- /inbox/tom/_candidates/2026-09-13-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-09-14-agent-rag-longcontext-candidates.json
- /inbox/tom/_candidates/2026-09-14-agent-memory-tool-use-candidates.json
- [S2 enrich]