Gurevych, Iryna

24 publications

TMLR 2026 Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling Federico Tiblias, Irina Bigoulaeva, Jingcheng Niu, Simone Balloccu, Iryna Gurevych

ICLR 2026 Revela: Dense Retriever Learning via Language Modeling Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Tongshuang Wu, Iryna Gurevych, Heinz Koeppl

ICLR 2025 Differentially Private Steering for Large Language Model Alignment Anmol Goel, Yaxi Hu, Iryna Gurevych, Amartya Sanyal

TMLR 2025 Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning Jingcheng Niu, Subhabrata Dutta, Ahmed Elshabrawy, Harish Tayyar Madabushi, Iryna Gurevych

ICLR 2025 ObscuraCoder: Powering Efficient Code LM Pre-Training via Obfuscation Grounding Indraneil Paul, Haoyi Yang, Goran Glavaš, Kristian Kersting, Iryna Gurevych

ICLR 2025 Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim, Clara Meister, Thomas Möllenhoff, Iryna Gurevych

ICMLW 2024 Early Period of Training Impacts Out-of-Distribution Generalization Chen Cecilia Liu, Iryna Gurevych

ICLR 2024 Model Merging by Uncertainty-Based Gradient Matching Nico Daheim, Thomas Möllenhoff, Edoardo Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan

ICML 2024 Variational Learning Is Effective for Large Deep Networks Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Bazan Clement Emile Marcel Raoul, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

NeurIPSW 2023 Model Merging by Gradient Matching Nico Daheim, Thomas Möllenhoff, Edoardo Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan

NeurIPSW 2022 GDPR Compliant Collection of Therapist-Patient-Dialogues Tobias Mayer, Neha Warikoo, Oliver Grimm, Andreas Reif, Iryna Gurevych

NeurIPSW 2022 NLP Meets Psychotherapy: Using Predicted Client Emotions and Self-Reported Client Emotions to Measure Emotional Coherence Neha Warikoo, Tobias Mayer, Dana Atzil-Slonim, Amir Eliassaf, Shira Haimovitz, Iryna Gurevych

AAAI 2020 Fine-Grained Argument Unit Recognition and Classification Dietrich Trautmann, Johannes Daxenberger, Christian Stab, Hinrich Schütze, Iryna Gurevych

ICLR 2020 Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan, Iryna Gurevych, Stefan Roth

AAAI 2020 Low Resource Sequence Tagging with Weak Labels Edwin Simpson, Jonas Pfeiffer, Iryna Gurevych

MLJ 2020 Scalable Bayesian Preference Learning for Crowds Edwin Simpson, Iryna Gurevych

AAAI 2020 Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology Gözde Gül Sahin, Iryna Gurevych

AAAI 2019 COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data Andreas Rücklé, Nafise Sadat Moosavi, Iryna Gurevych

AAAI 2019 Challenges in the Automatic Analysis of Students' Diagnostic Reasoning Claudia Schulz, Christian M. Meyer, Iryna Gurevych

ICCVW 2019 Joint Wasserstein Autoencoders for Aligning Multimodal Embeddings Shweta Mahajan, Teresa Botschen, Iryna Gurevych, Stefan Roth

IJCAI 2019 Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych

ECML-PKDD 2014 Large-Scale Multi-Label Text Classification - Revisiting Neural Networks Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz

CVPR 2010 What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele

AAAI 2008 Using Wiktionary for Computing Semantic Relatedness Torsten Zesch, Christof Müller, Iryna Gurevych