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Same Claim, Different Interpretations: How LLM Agents Resolve Ambiguity in Scientific Claims

Paper recorded by Signals 4 on 2026-10-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.CL · 自然语言处理 · first seen 2026-10-15

Abstract

Co-scientists and agentic scientific claim verifiers are increasingly used to assess claims across the sciences. Natural-language scientific claims, written for human experts, are often underspecified and so admit several defensible interpretations. Such verifiers usually pick one, often tacitly, and benchmarks score their verdicts against expert labels without recording the expert's interpretatio

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#249 most recent of 660 cs.CL papers we have recorded · ↑ newer: MolLean: A Process-Verifiable Language for Chemical Reasoning · ↓ older: The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Trainin
Cite this page: Same Claim, Different Interpretations: How LLM Agents Resolve Ambiguity in Scientific Claims: the #249 most recent of 660 cs.CL papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/same-claim-different-interpretations-how-llm-agents-resolve-ambiguity-in-scienti.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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