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20172026
most citedDoes My Rebuttal Matter? Insights from a Major NLP Conference

17 citations · 31 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.CL2024★ 3 cited

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Classification is a core NLP task architecture with many potential applications. While large language models (LLMs) have brought substantial advancements in text generation, their…

cs.CL2024

STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond

Nils Dycke, Matej Zečević, Ilia Kuznetsov +3

Critical text assessment is at the core of many expert activities, such as fact-checking, peer review, and essay grading. Yet, existing work treats critical text assessment as a bl…

cs.CL2024

Systematic Task Exploration with LLMs: A Study in Citation Text Generation

Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou +1

Large language models (LLMs) bring unprecedented flexibility in defining and executing complex, creative natural language generation (NLG) tasks. Yet, this flexibility brings new c…

cs.CL2024

M2QA: Multi-domain Multilingual Question Answering

Leon Engländer, Hannah Sterz, Clifton Poth +3

Generalization and robustness to input variation are core desiderata of machine learning research. Language varies along several axes, most importantly, language instance (e.g. Fre…

cs.CL2024★ 2 cited

Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Collaborative review and revision of textual documents is the core of knowledge work and a promising target for empirical analysis and NLP assistance. Yet, a holistic framework tha…

cs.CL2024★ 5 cited

What Can Natural Language Processing Do for Peer Review?

Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen +21

The number of scientific articles produced every year is growing rapidly. Providing quality control over them is crucial for scientists and, ultimately, for the public good. In mod…

cs.CL2024

Document Structure in Long Document Transformers

Jan Buchmann, Max Eichler, Jan-Micha Bodensohn +2

Long documents often exhibit structure with hierarchically organized elements of different functions, such as section headers and paragraphs. Despite the omnipresence of document s…