Accepted Publications (Preprints)

Atzil-Slonim, D., Eliassaf, A., Warikoo, N., Paz, A., Haimovitz, Mayer, T., Gurevych, I.

Leveraging natural language processing to study emotional coherence in psychotherapy. In Psychotherapy.

Nico Daheim, Thomas Möllenhoff, Edoardo Maria Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan

Model Merging by Uncertainty-Based Gradient Matching. In ICLR 2024.

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

Analyzing Dataset Annotation Quality Management in the Wild. In CL 2024.

Chen Cecilia Liu, Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych

FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. In NAACL 2024.

Sheng Lu, Hendrik Schuff, Iryna Gurevych

How are Prompts Different in Terms of Sensitivity? In NAACL 2024.

Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych

A Survey of Language Model Confidence Estimation and Calibration. In NAACL 2024.

Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych

Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings. In NAACL 2024.

Nico Daheim, Nouha Dziri, Mrinmaya Sachan,Iryna Gurevych, Edoardo M. Ponti

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. In NAACL 2024.

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.


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.

Indraneil Paul, Jun Luo, Goran Glavaš, Iryna Gurevych

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

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

Triple-Encoders: Representations That Fire Together, Wire Together 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.

Indraneil Paul, Jun Luo, Goran Glavaš, Iryna Gurevych

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

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

Are Emergent Abilities in Large Language Models just In-Context Learning? In arXiv 2023.

Kexin Wang, Nils Reimers, Iryna Gurevych

DAPR: A Benchmark on Document-Aware Passage Retrieval. In arXiv 2023.

Benjamin Schiller, Johannes Daxenberger, Iryna Gurevych

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


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