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20242026
most citedA Survey of Pre-trained Language Models for Processing Scientific Text

4 citations · 8 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

How Robust Is Multimodal Claim Verification to LLM Rewriting?

Yun-Ang Wu, Xanh Ho, Andre Greiner-Petter +4

LLMs are known to introduce stylistic changes into generated text, yet how these stylistic shifts affect model decisions on scientific tasks remains underexplored. In this paper, w…

cs.CL2026

Encoded but Not Routed: Explaining the Table-Chart Gap in Scientific Claim Verification

Sunisth Kumar, Xanh Ho, Tim Schopf +3

Multimodal LLMs are increasingly used to assist scientific peer review, where a core requirement is verifying whether claims in a paper are supported by its evidence. Prior work ha…

cs.CL2026

EarlySciRev: A Dataset of Early-Stage Scientific Revisions Extracted from LaTeX Writing Traces

Léane Jourdan, Julien Aubert-Béduchaud, Yannis Chupin +2

Scientific writing is an iterative process that generates rich revision traces, yet publicly available resources typically expose only final or near-final versions of papers. This…

cs.CL2026★ 2 cited

SciClaimEval: Cross-modal Claim Verification in Scientific Papers

Xanh Ho, Yun-Ang Wu, Sunisth Kumar +4

We present SciClaimEval, a new scientific dataset for the claim verification task. Unlike existing resources, SciClaimEval features authentic claims, including refuted ones, direct…

cs.CL2026

FC-CONAN: An Exhaustively Paired Dataset for Robust Evaluation of Retrieval Systems

Juan Junqueras, Florian Boudin, May-Myo Zin +5

Hate speech (HS) is a critical issue in online discourse, and one promising strategy to counter it is through the use of counter-narratives (CNs). Datasets linking HS with CNs are…