Publications

Accepted Publications (Preprints)

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

Variational Learning is Effective for Large Deep Networks In ICML 2024.

Andreas Waldis, Yufang Hou, Iryna Gurevych

How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study In ACL 2024.

Md Imbesat Hassan Rizvi, Xiaodan Zhu and Iryna Gurevych

SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models In ACL 2024.

Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych

Are Emergent Abilities in Large Language Models just In-Context Learning? In ACL2024.

Indraneil Paul, Goran Glavaš, Iryna Gurevych

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators In ACL 2024.

Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov

M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection In ACL 2024.

Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou and Iryna Gurevych

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

Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych

Triple-Encoders: Representations That Fire Together, Wire Together In ACL 2024.

Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych and Heinz Koeppl

GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics In ACL findings 2024.

Yufang Hou, Thy Thy Tran, Doan Nam Long Vu, Yiwen Cao, Kai Li, Lukas Rohde, Iryna Gurevych

A Course Shared Task on Evaluating {LLM} Output for Clinical Questions. In ACL 2024 Workshop Teaching NLP.

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.

Preprints

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.

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

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

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

Holmes: Benchmark the Linguistic Competence of Language Models. 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.

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

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. 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.

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

On the Effect of Sample and Topic Sizes for Argument Mining Datasets. In arXiv 2022.