Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Nenkov Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. In EMNLP 2024 Demo

Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, OSAMA MOHAMMED AFZAL, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji et al.

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. In EMNLP 2024 Demo

Richard Eckart de Castilho, Jan-Christoph Klie, Iryna Gurevych

Integrating INCEpTION into larger annotation processes In EMNLP 2024 Demo

Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych

“Image, Tell me your story!” Predicting the original meta-context of visual misinformation In EMNLP 2024.

Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl

MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity In EMNLP 2024.

Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors In EMNLP 2024..

Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. In EMNLP 2024.

Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific LeaderboardsIn EMNLP 2024.

Jan Buchmann, Xiao Liu, Iryna Gurevych

Attribute or Abstain: Large Language Models as Long Document Assistants In EMNLP 2024.

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

On the Effect of Sample and Topic Sizes for Argument Mining Datasets. In EMNLP 2024.

Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych

The Lou Dataset – Exploring the Impact of Gender-Fair Language in German Text Classification In EMNLP 2024.

Qian Ruan, Ilia Kuznetsov, Iryna Gurevych

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions In EMNLP 2024.

Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych

M2QA: Multi-domain Multilingual Question Answering In EMNLP 2024 findings.

Tim Baumgärtner, Yang Gao, Dana Alon, Donald Metzler

Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data In COLM 2024.

Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych

Holmes: Benchmark the Linguistic Competence of Language Models In TACL 2024.

K Valerie Carl, Thomas Arnold, Nataliia Medzhybovska, Iryna Gurevych, Oliver Hinz

Wie können Corporate-Digital-Responsibility-Aktivitäten gemessen werden? Ein Ansatz mit Hilfe eines automatisierten Tools. In transfer – Zeitschrift für Kommunikation und Markenmanagement.

Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger

HDT: Hierarchical Document Transformer. In COLM 2024.

Nils Dycke, Matej Zečević, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych

Diagnostic Reasoning in Natural Language: Computational Model and Application In arXiv 2024.

Iryna Gurevych

Towards Real-World Fact-Checking with Large Language Models Keynote In ECAI 2024.

Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych

Grounding Fallacies Misrepresenting Scientific Publications in Evidence In arXiv 2024.

Mohammad Javad Hosseini, Yang Gao, Tim Baumgärtner, Alex Fabrikant, Reinald Kim Amplayo

Scalable and Domain-General Abstractive Proposition Segmentation In arXiv 2024.

Rachneet Sachdeva, Yixiao Song, Mohit Iyyer, Iryna Gurevych

Fine-grained Hallucination Detection and Mitigation in Long-form Question Answering In arXiv 2024.

Neele Falk, Andreas Waldis, Iryna Gurevych

Overview of perpectivearg2024: The first shared task on perspective argument retrieval In arXiv 2024.

Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov

LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection In arXiv 2024.

Subhabrata Dutta, Timo Kaufmann, Goran Glavaš, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schuetze

Problem Solving Through Human-AI Preference-Based Cooperation In arXiv 2024.

Yongxin Huang, Kexin Wang, Goran Glavaš, Iryna Gurevych

Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment In arXiv 2024.

Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

InferAct: Inferring Safe Actions for LLM-Based Agents Through Preemptive Evaluation and Human Feedback In arXiv 2024.

Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych

Systematic Task Exploration with LLMs: A Study in Citation Text Generation In arXiv 2024.

Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych

LLM Roleplay: Simulating Human-Chatbot Interaction In arXiv 2024.

Haritz Puerto, Tilek Chubakov, Xiaodan Zhu, Harish Tayyar Madabushi, Iryna Gurevych

Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models In arXiv 2024.

Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen

Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art In arXiv 2024.

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, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

What Can Natural Language Processing Do for Peer Review? In arXiv 2024.

Chen Cecilia Liu, Iryna Gurevych

Early Period of Training Impacts Out-of-Distribution Generalization. In arXiv 2024.

Ahmed Elshabrawy, Yongix Huang, Iryna Gurevych, Alham Fikri Aji

Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning In arXiv 2024.

Ji-Ung Lee, Marc E. Pfetsch, Iryna Gurevych

Constrained C-Test Generation via Mixed-Integer Programming In arXiv 2024.

Anmol Goel, Nico Daheim, Iryna Gurevych

Socratic Reasoning Improves Positive Text Rewriting In arXiv 2024.

Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych

Multimodal Large Language Models to Support Real-World Fact-Checking In arXiv 2024.

Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output (opens in new tab). In arXiv 2023.

Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych

A Template Is All You Meme In arXiv 2023.

Andreas Waldis, Iryna Gurevych

Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios In arXiv 2023.