| Metaqa: Combining expert agents for multi-skill question answering H Puerto, GG Şahin, I Gurevych EACL Main 2023, 2023 | 21 | 2023 |
| Let Me Know What to Ask: Interrogative-Word-Aware Question Generation J Kang, H Puerto, SH Myaeng Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019 | 17 | 2019 |
| Code Prompting Elicits Conditional Reasoning Abilities in Text+ Code LLMs H Puerto, M Tutek, S Aditya, X Zhu, I Gurevych EMNLP Main 2024, 2024 | 7 | 2024 |
| Regularization of Distinct Strategies for Unsupervised Question Generation J Kang, G Hong, H Puerto, SH Myaeng Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 4 | 2020 |
| Fine-tuning with divergent chains of thought boosts reasoning through self-correction in language models H Puerto, T Chubakov, X Zhu, HT Madabushi, I Gurevych | 3 | 2024 |
| Surveying (dis) parities and concerns of compute hungry NLP research JU Lee, H Puerto, B van Aken, Y Arase, JZ Forde, L Derczynski, A Rücklé, ... arXiv preprint arXiv:2306.16900, 2023 | 2 | 2023 |
| Analysis of the Semantic Answer Types to Understand the Limitations of MRQA Models D Lim, H Puerto, SH Myaeng 정보과학회논문지 47 (3), 298-309, 2020 | 2 | 2020 |
| Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models H Puerto, M Gubri, S Yun, SJ Oh arXiv preprint arXiv:2411.00154, 2024 | 1 | 2024 |
| UKP-SQuARE: An Interactive Tool for Teaching Question Answering H Fang, H Puerto, I Gurevych Proceedings of the 18th Workshop on Innovative Use of NLP for Building …, 2023 | 1 | 2023 |
| UKP-SQuARE v3: A Platform for Multi-Agent QA Research H Puerto, T Baumgärtner, R Sachdeva, H Fang, H Zhang, S Tariverdian, ... ACL 2023 (Demo Track), 2023 | 1 | 2023 |
| UKP-SQUARE: An Online Platform for Question Answering Research T Baumgärtner, K Wang, R Sachdeva, M Eichler, G Geigle, C Poth, ... Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 1 | 2022 |
| Phi-2 Model checkpoints for Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models H Puerto, T Chubakov, X Zhu, H Tayyar Madabushi, I Gurevych | | 2024 |
| UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA R Sachdeva, H Puerto, T Baumgärtner, S Tariverdian, H Zhang, K Wang, ... AACL 2022 (Demo track), 2022 | | 2022 |
| Analysis of Answer Type Application Ability of State-of-the-Art Reading Comprehension Models for Question Answering Task H Puerto, D Lim, SH Myaeng 한국정보과학회 학술발표논문집, 551-553, 2019 | | 2019 |
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, Bulgariacs.tu-darmstadt.de의 이메일 확인됨