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FindLink: Learning to Assess Scientific Connections from Source-Grounded Premises

Paper recorded by Signals 4 on 2026-11-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CL · 自然语言处理 · first seen 2026-11-03

Abstract

Scientific discovery from the literature requires assessing connections among findings obtained under different study conditions. Source attribution makes individual findings traceable, but does not determine what they jointly support. We introduce GI-TraceBench, a benchmark of 10,282 questions in gastrointestinal oncology that unifies provenance question answering, knowledge discovery, and hypoth

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#27 most recent of 628 cs.CL papers we have recorded · ↑ newer: Re$^3$Rank: Listwise Reranking with Reasoning-Conditioned Retrieval He · ↓ older: PixelBench: Can LLMs Understand and Generate Images Pixel by Pixel?
Cite this page: FindLink: Learning to Assess Scientific Connections from Source-Grounded Premises: the #27 most recent of 628 cs.CL papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/findlink-learning-to-assess-scientific-connections-from-source-grounded-premises.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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