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ReGround: Grounding Reviewer Comments in Multimodal Evidence
Reviewer comments naturally relate to specific parts of the reviewed paper, yet grounding these comments to the underlying evidence is difficult due to long multimodal documents. Existing benchmarks do not capture this setting and largely focus on explicit, information-seeking queries. We introduce ReGround, a large-scale dataset for reviewer comment grounding that links 10,267 reviewer comments to 16,274 evidence in the original anonymous submission of 3,656 papers. We build on a simple observation: author rebuttals often include explicit references to content of the submission used to addres
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T12:32:58.000Z
First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.