https://hackerpaper.kaipfister.de/p/2509.00375/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMThttps://news.ycombinator.com/item?id=45287804urn:hackerpapers:submission:2509.00375:45287804Thu, 18 Sep 2025 10:12:41 GMT<p>Open Data Synthesis for Deep Research</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2509.00375/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CLhttps://news.ycombinator.com/item?id=45273491urn:hackerpapers:submission:2509.00375:45273491Wed, 17 Sep 2025 09:00:44 GMT<p>InfoSeek: The First Open-Source Framework for Deep Research Data Synthesis</p><p>- The First Open-source Dataset Purpose-built for Deep Research tasks - InfoSeek is the industry’s first dataset systematically designed for Deep Research tasks. It goes beyond the limitations of traditional QA and multi-hop QA by focusing on complex, hierarchical Deep Research problems, filling a critical gap in high-quality training data. - End-to-end Open Source: Dataset + Data Synthesis Framework - Both the dataset and its generation framework are fully open-sourced, enabling researchers to freely extend and adapt it. - Leveraging tree-structured generation and backtracking verification…</p><p>2 points; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2509.00375/">Paper and source history</a>. A submission is not an endorsement.</p>cs.CL