⤴️ COVE: COntext and VEracity prediction for out-of-context images
Jonathan Tonglet, Gabriel Thiem, Iryna Gurevych (2025)
🔥 to appear in NAACL [paper] [repo]
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⤴️ PeerQA: A Scientific Question Answering Dataset from Peer Reviews
Tim Baumgärtner, Ted Briscoe, Iryna Gurevych (2025)
🔥 to appear in NAACL [paper] [repo]
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⤴️ Grounding Fallacies Misrepresenting Scientific Publications in Evidence
Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych (2025)
🔥 to appear in NAACL [paper] [repo]
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Attribute or Abstain: Large Language Models as Long Document Assistants
Jan Buchmann, Xiao Liu, Iryna Gurevych (2024)
EMNLP-2024 [paper] [repo]
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Diagnostic Reasoning in Natural Language: Computational Model and Application
Nils Dycke, Matej Zečević, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych (2024)
🔥 arXiv [paper]
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⤴️ “Image, Tell me your story!” Predicting the original meta-context of visual misinformation
Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych (2024)
EMNLP-2024 [paper] [repo]
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Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych (2024)
EMNLP-2024 [paper] [repo]
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M2QA: A Multi-domain Multilingual Question Answering Benchmark Dataset
Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych (2024)
EMNLP-2024 Findings [paper] [repo]
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Systematic Task Exploration with LLMs: A Study in Citation Text Generation
Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych (2024)
ACL-2024 [paper] [repo]
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⤴️ HDT: Hierarchical Document Transformer
Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger (2024)
COLM-2024 [paper] [repo]
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Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych (2024)
ACL-2024 [paper] [repo]
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⤴️ Missci: Reconstructing Fallacies in Misrepresented Science
Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych (2024)
ACL-2024 [paper] [repo]
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What Can Natural Language Processing Do for Peer Review?
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu... [+8] (2024)
🔥 arXiv [paper] [repo]
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Document Structure in Long Document Transformers
Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych (2024)
EACL-2024 [paper] [repo]
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Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych (2023)
Proceedings of the 10th Workshop on Argument Mining [paper] [repo]
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CiteBench: A benchmark for Scientific Citation Text Generation
Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych (2023)
EMNLP-2023 [paper] [repo]
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⤴️ Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
Sukannya Purkayastha, Anne Lauscher, Iryna Gurevych (2023)
EMNLP-2023 [paper] [repo]
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An Inclusive Notion of Text
Ilia Kuznetsov, Iryna Gurevych (2023)
ACL-2023 [paper]
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NLPeer: A Unified Resource for the Computational Study of Peer Review
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych (2023)
ACL-2023 [paper] [repo]
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CARE: Collaborative AI-Assisted Reading Environment
Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych (2023)
ACL-2023 [paper] [repo]
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Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond
Nils Dycke, Ilia Kuznetsov, Iryna Gurevych (2022)
Findings of EMNLP [paper] [repo]
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Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review
Ilia Kuznetsov, Jan Buchmann, Max Eichler, Iryna Gurevych (2022)
Computational Linguistics, 48(4) [paper] [repo]
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Assisting Decision Making in Scholarly Peer Review: A Preference Learning Perspective
Nils Dycke, Edwin Simpson, Ilia Kuznetsov, Iryna Gurevych (2022)
arXiv [paper]
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Does My Rebuttal Matter? Insights from a Major NLP Conference
Yang Gao, Steffen Eger, Ilia Kuznetsov, Iryna Gurevych, Yusuke Miyao (2019)
NAACL [paper] [repo]
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