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ORCIDIryna Gurevych
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- affiliation: Darmstadt University of Technology, Ubiquitous Knowledge Processing Lab, Germany
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2020 – today
- 2024
[j45]Ivan Habernal
, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining legal arguments in court decisions. Artif. Intell. Law 32(3): 1-38 (2024)- [j44]Max Glockner, Ieva Staliunaite, James Thorne, Gisela Vallejo, Andreas Vlachos, Iryna Gurevych:
AmbiFC: Fact-Checking Ambiguous Claims with Evidence. Trans. Assoc. Comput. Linguistics 12: 1-18 (2024) - [c384]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. ACL (Findings) 2024: 3406-3432 - [c383]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed 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. ACL (1) 2024: 3964-3992 - [c382]Kexin Wang, Nils Reimers, Iryna Gurevych:
DAPR: A Benchmark on Document-Aware Passage Retrieval. ACL (1) 2024: 4313-4330 - [c381]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. ACL (1) 2024: 4372-4405 - [c380]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. ACL (1) 2024: 4635-4655 - [c379]Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych:
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. ACL (1) 2024: 4750-4767 - [c378]Furkan Sahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
Systematic Task Exploration with LLMs: A Study in Citation Text Generation. ACL (1) 2024: 4832-4855 - [c377]Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych:
Are Emergent Abilities in Large Language Models just In-Context Learning? ACL (1) 2024: 5098-5139 - [c376]Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych:
Triple-Encoders: Representations That Fire Together, Wire Together. ACL (1) 2024: 5317-5332 - [c375]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. ACL (Findings) 2024: 5571-5597 - [c374]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. ACL (1) 2024: 14878-14898 - [c373]Indraneil Paul, Goran Glavas, Iryna Gurevych:
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. ACL (1) 2024: 15023-15041 - [c372]Luke Bates, Iryna Gurevych:
Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification. EACL (1) 2024: 276-297 - [c371]Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, Timothy Baldwin:
Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon. EACL (1) 2024: 298-320 - [c370]Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych:
Document Structure in Long Document Transformers. EACL (1) 2024: 1056-1073 - [c369]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 2024: 1369-1407 - [c368]Tobias Mayer, Neha Warikoo, Amir Eliassaf, Dana Atzil-Slonim, Iryna Gurevych:
Predicting Client Emotions and Therapist Interventions in Psychotherapy Dialogues. EACL (1) 2024: 1463-1477 - [c367]Rachneet Sachdeva, Martin Tutek, Iryna Gurevych:
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration. EACL (1) 2024: 1876-1898 - [c366]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. EACL (Findings) 2024: 2197-2214 - [c365]Tilman Beck, Hendrik Schuff, Anne Lauscher, Iryna Gurevych:
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting. EACL (1) 2024: 2589-2615 - [c364]Dominic Petrak, Thy Thy Tran, Iryna Gurevych:
Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues. EMNLP (Findings) 2024: 4573-4603 - [c363]Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych:
M2QA: Multi-domain Multilingual Question Answering. EMNLP (Findings) 2024: 6283-6305 - [c362]Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych:
"Image, Tell me your story!" Predicting the original meta-context of visual misinformation. EMNLP 2024: 7845-7864 - [c361]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. EMNLP 2024: 7963-7977 - [c360]Jan Buchmann, Xiao Liu, Iryna Gurevych:
Attribute or Abstain: Large Language Models as Long Document Assistants. EMNLP 2024: 8113-8140 - [c359]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. EMNLP 2024: 8386-8411 - [c358]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. EMNLP 2024: 10369-10391 - [c357]Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych:
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification. EMNLP 2024: 10604-10624 - [c356]Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych:
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets. EMNLP 2024: 10870-10887 - [c355]Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych:
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. EMNLP 2024: 11234-11258 - [c354]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-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. EMNLP (Findings) 2024: 14199-14230 - [c353]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. EMNLP 2024: 15049-15067 - [c352]Nico Daheim, Thomas Möllenhoff, Edoardo M. Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan:
Model Merging by Uncertainty-Based Gradient Matching. ICLR 2024 - [c351]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. ICML 2024 - [c350]Chen Liu, Jonas Pfeiffer, Ivan Vulic, Iryna Gurevych:
FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing. NAACL-HLT 2024: 1998-2015 - [c349]Chen Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych:
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings. NAACL-HLT 2024: 2016-2039 - [c348]Sheng Lu, Hendrik Schuff, Iryna Gurevych:
How are Prompts Different in Terms of Sensitivity? NAACL-HLT 2024: 5833-5856 - [c347]Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT 2024: 6577-6595 - [c346]Nico Daheim, Nouha Dziri, Mrinmaya Sachan, Iryna Gurevych, Edoardo M. Ponti:
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation. NAACL-HLT 2024: 7096-7112 - [d3]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection. Zenodo, 2024
- [i233]Dominic Petrak, Thy Thy Tran, Iryna Gurevych:
Learning from Emotions, Demographic Information and Implicit User Feedback in Task-Oriented Document-Grounded Dialogues. CoRR abs/2401.09248 (2024) - [i232]Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych:
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. CoRR abs/2401.10065 (2024) - [i231]Jan Buchmann, Max Eichler, Jan-Micha Bodensohn, Ilia Kuznetsov, Iryna Gurevych:
Document Structure in Long Document Transformers. CoRR abs/2401.17658 (2024) - [i230]Andreas Waldis, Yufang Hou, Iryna Gurevych:
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization. CoRR abs/2402.01375 (2024) - [i229]Fajri Koto, Tilman Beck, Zeerak Talat, Iryna Gurevych, Timothy Baldwin:
Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon. CoRR abs/2402.02113 (2024) - [i228]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. CoRR abs/2402.11175 (2024) - [i227]Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych:
Triple-Encoders: Representations That Fire Together, Wire Together. CoRR abs/2402.12332 (2024) - [i226]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. CoRR abs/2402.17641 (2024) - [i225]Anmol Goel, Nico Daheim, Iryna Gurevych:
Socratic Reasoning Improves Positive Text Rewriting. CoRR abs/2403.03029 (2024) - [i224]Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych:
Multimodal Large Language Models to Support Real-World Fact-Checking. CoRR abs/2403.03627 (2024) - [i223]Indraneil Paul, Jun Luo, Goran Glavas, Iryna Gurevych:
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. CoRR abs/2403.03894 (2024) - [i222]Chen Cecilia Liu, Iryna Gurevych:
Early Period of Training Impacts Out-of-Distribution Generalization. CoRR abs/2403.15210 (2024) - [i221]Ji-Ung Lee, Marc E. Pfetsch, Iryna Gurevych:
Constrained C-Test Generation via Mixed-Integer Programming. CoRR abs/2404.08821 (2024) - [i220]Ahmed Elshabrawy, Yongxin Huang, Iryna Gurevych, Alham Fikri Aji:
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning. CoRR abs/2404.12897 (2024) - [i219]Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR abs/2404.14183 (2024) - [i218]Andreas Waldis, Yotam Perlitz, Leshem Choshen, Yufang Hou, Iryna Gurevych:
Holmes: Benchmark the Linguistic Competence of Language Models. CoRR abs/2404.18923 (2024) - [i217]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? CoRR abs/2405.06563 (2024) - [i216]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision. CoRR abs/2406.00197 (2024) - [i215]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. CoRR abs/2406.03181 (2024) - [i214]Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen:
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art. CoRR abs/2406.03930 (2024) - [i213]Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych:
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models. CoRR abs/2406.04566 (2024) - [i212]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs. CoRR abs/2406.07080 (2024) - [i211]Leon Engländer, Hannah Sterz, Clifton Poth, Jonas Pfeiffer, Ilia Kuznetsov, Iryna Gurevych:
M2QA: Multi-domain Multilingual Question Answering. CoRR abs/2407.01091 (2024) - [i210]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. CoRR abs/2407.03181 (2024) - [i209]Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych:
LLM Roleplay: Simulating Human-Chatbot Interaction. CoRR abs/2407.03974 (2024) - [i208]Furkan Sahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
Systematic Task Exploration with LLMs: A Study in Citation Text Generation. CoRR abs/2407.04046 (2024) - [i207]Jan Buchmann, Xiao Liu, Iryna Gurevych:
Attribute or Abstain: Large Language Models as Long Document Assistants. CoRR abs/2407.07799 (2024) - [i206]Haoyu He, Markus Flicke, Jan Buchmann, Iryna Gurevych, Andreas Geiger:
HDT: Hierarchical Document Transformer. CoRR abs/2407.08330 (2024) - [i205]Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors. CoRR abs/2407.09136 (2024) - [i204]Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity. CoRR abs/2407.10691 (2024) - [i203]Tianyu Yang, Xiaodan Zhu, Iryna Gurevych:
Robust Utility-Preserving Text Anonymization Based on Large Language Models. CoRR abs/2407.11770 (2024) - [i202]Haishuo Fang, Xiaodan Zhu, Iryna Gurevych:
InferAct: Inferring Safe Actions for LLM-Based Agents Through Preemptive Evaluation and Human Feedback. CoRR abs/2407.11843 (2024) - [i201]Rachneet Sachdeva, Yixiao Song, Mohit Iyyer, Iryna Gurevych:
Fine-grained Hallucination Detection and Mitigation in Long-form Question Answering. CoRR abs/2407.11930 (2024) - [i200]Fengyu Cai, Xinran Zhao, Hongming Zhang, Iryna Gurevych, Heinz Koeppl:
GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics. CoRR abs/2407.12512 (2024) - [i199]Yongxin Huang, Kexin Wang, Goran Glavas, Iryna Gurevych:
Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment. CoRR abs/2407.14878 (2024) - [i198]Neele Falk, Andreas Waldis, Iryna Gurevych:
Overview of PerpectiveArg2024: The First Shared Task on Perspective Argument Retrieval. CoRR abs/2407.19670 (2024) - [i197]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. CoRR abs/2408.00122 (2024) - [i196]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. CoRR abs/2408.04284 (2024) - [i195]Subhabrata Dutta, Timo Kaufmann, Goran Glavas, Ivan Habernal, Kristian Kersting, Frauke Kreuter, Mira Mezini, Iryna Gurevych, Eyke Hüllermeier, Hinrich Schütze:
Problem Solving Through Human-AI Preference-Based Cooperation. CoRR abs/2408.07461 (2024) - [i194]Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych:
"Image, Tell me your story!" Predicting the original meta-context of visual misinformation. CoRR abs/2408.09939 (2024) - [i193]Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov:
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR abs/2408.11832 (2024) - [i192]Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Grounding Fallacies Misrepresenting Scientific Publications in Evidence. CoRR abs/2408.12812 (2024) - [i191]Haau-Sing Li, Patrick Fernandes, Iryna Gurevych, André F. T. Martins:
DOCE: Finding the Sweet Spot for Execution-Based Code Generation. CoRR abs/2408.13745 (2024) - [i190]Nils Dycke, Matej Zecevic, Ilia Kuznetsov, Beatrix Suess, Kristian Kersting, Iryna Gurevych:
Diagnostic Reasoning in Natural Language: Computational Model and Application. CoRR abs/2409.05367 (2024) - [i189]Tuba Gokhan, Kexin Wang, Iryna Gurevych, Ted Briscoe:
RegNLP in Action: Facilitating Compliance Through Automated Information Retrieval and Answer Generation. CoRR abs/2409.05677 (2024) - [i188]Furkan Sahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych:
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. CoRR abs/2409.12656 (2024) - [i187]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
The Nature of NLP: Analyzing Contributions in NLP Papers. CoRR abs/2409.19505 (2024) - [i186]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science. CoRR abs/2409.19508 (2024) - [i185]Qian Ruan, Ilia Kuznetsov, Iryna Gurevych:
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. CoRR abs/2410.02028 (2024) - [i184]Iryna Gurevych, Anna Rogers, Nihar B. Shah, Jingyan Wang:
Reviewer No. 2: Old and New Problems in Peer Review (Dagstuhl Seminar 24052). Dagstuhl Reports 14(1): 130-161 (2024) - 2023
- [j43]Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych:
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future. Comput. Linguistics 49(1): 157-198 (2023) - [j42]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning. Frontiers Robotics AI 10 (2023) - [j41]Irina Bigoulaeva, Viktor Hangya, Iryna Gurevych, Alexander Fraser:
Label modification and bootstrapping for zero-shot cross-lingual hate speech detection. Lang. Resour. Evaluation 57(4): 1515-1546 (2023) - [j40]Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz:
Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 11: 826-860 (2023) - [c345]Dennis Zyska, Nils Dycke, Jan Buchmann, Ilia Kuznetsov, Iryna Gurevych:
CARE: Collaborative AI-Assisted Reading Environment. ACL (demo) 2023: 291-303 - [c344]Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva, Haishuo Fang, Hao Zhang, Sewin Tariverdian, Kexin Wang, Iryna Gurevych:
UKP-SQuARE v3: A Platform for Multi-Agent QA Research. ACL (demo) 2023: 569-580 - [c343]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
NLPeer: A Unified Resource for the Computational Study of Peer Review. ACL (1) 2023: 5049-5073 - [c342]Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
A Dataset of Argumentative Dialogues on Scientific Papers. ACL (1) 2023: 7684-7699 - [c341]Ilia Kuznetsov, Iryna Gurevych:
An Inclusive Notion of Text. ACL (1) 2023: 11311-11327 - [c340]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Python Code Generation by Asking Clarification Questions. ACL (1) 2023: 14287-14306 - [c339]Nils Dycke, Ilia Kuznetsov, Iryna Gurevych:
Overview of PragTag-2023: Low-Resource Multi-Domain Pragmatic Tagging of Peer Reviews. ArgMining@EMNLP 2023: 187-196 - [c338]Haishuo Fang, Haritz Puerto, Iryna Gurevych:
UKP-SQuARE: An Interactive Tool for Teaching Question Answering. BEA@ACL 2023: 195-204 - [c337]Mohsen Mesgar, Thy Thy Tran, Goran Glavas, Iryna Gurevych:
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. EACL 2023: 1838-1849 - [c336]Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych:
Transformers with Learnable Activation Functions. EACL (Findings) 2023: 2337-2353 - [c335]Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
Opportunities and Challenges in Neural Dialog Tutoring. EACL 2023: 2349-2364 - [c334]Chen Liu, Jonas Pfeiffer, Anna Korhonen, Ivan Vulic, Iryna Gurevych:
Delving Deeper into Cross-lingual Visual Question Answering. EACL (Findings) 2023: 2408-2423 - [c333]Haritz Puerto, Gözde Gül Sahin, Iryna Gurevych:
MetaQA: Combining Expert Agents for Multi-Skill Question Answering. EACL 2023: 3548-3562 - [c332]Jan-Christoph Klie, Ji-Ung Lee, Kevin Stowe, Gözde Gül Sahin, Nafise Sadat Moosavi, Luke Bates, Dominic Petrak, Richard Eckart de Castilho, Iryna Gurevych:
Lessons Learned from a Citizen Science Project for Natural Language Processing. EACL 2023: 3576-3590 - [c331]Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer:
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. EMNLP (Demos) 2023: 149-160 - [c330]Aniket Pramanick, Yufang Hou, Saif M. Mohammad, Iryna Gurevych:
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023: 2312-2326 - [c329]Yongxin Huang, Kexin Wang, Sourav Dutta, Raj Nath Patel, Goran Glavas, Iryna Gurevych:
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification. EMNLP 2023: 3420-3434 - [c328]Tianyu Yang, Thy Thy Tran, Iryna Gurevych:
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation. EMNLP (Findings) 2023: 4718-4735 - [c327]Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan:
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems. EMNLP (Findings) 2023: 5602-5621 - [c326]Martin Funkquist, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych:
CiteBench: A Benchmark for Scientific Citation Text Generation. EMNLP 2023: 7337-7353 - [c325]