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20182026
most citedImproving the Representation and Conversion of Mathematical Formulae by Considering their Textual Context

21 citations · 93 across the 25 of their papers we have counts for

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Showing 2026Show all

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.IR2026

Aspect-Aware Content-Based Recommendations for Mathematical Research Papers

Ankit Satpute, André Greiner-Petter, Noah Gießing +4

Content-based research paper recommendation (CbRPR) has seen advances in computer science and biomedicine, but remains unexplored for mathematics, where paper relatedness is more c…

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

Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection

Janek Bevendorff, Maik Fröbe, André Greiner-Petter +9

The goal of the PAN workshop is to advance computational stylometry and text forensics via objective and reproducible evaluation. In 2026, we run the following five tasks: (1) Voig…