| Olmo: Accelerating the science of language models D Groeneveld, I Beltagy, P Walsh, A Bhagia, R Kinney, O Tafjord, AH Jha, ... ACL 2024 🏆 Best Paper, 2024 | 176* | 2024 |
| Camels in a changing climate: Enhancing lm adaptation with tulu 2 H Ivison, Y Wang, V Pyatkin, N Lambert, M Peters, P Dasigi, J Jang, ... arXiv preprint arXiv:2311.10702, 2023 | 135 | 2023 |
| Rewardbench: Evaluating reward models for language modeling N Lambert, V Pyatkin, J Morrison, LJ Miranda, BY Lin, K Chandu, N Dziri, ... arXiv preprint arXiv:2403.13787, 2024 | 121* | 2024 |
| Value kaleidoscope: Engaging ai with pluralistic human values, rights, and duties T Sorensen, L Jiang, J Hwang, S Levine, V Pyatkin, P West, N Dziri, X Lu, ... AAAI, 2023 | 68* | 2023 |
| Phenomenal yet puzzling: Testing inductive reasoning capabilities of language models with hypothesis refinement L Qiu, L Jiang, X Lu, M Sclar, V Pyatkin, C Bhagavatula, B Wang, Y Kim, ... ICLR, 2023 | 54* | 2023 |
| QADiscourse--Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines V Pyatkin, A Klein, R Tsarfaty, I Dagan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 51 | 2020 |
| Asking it all: Generating contextualized questions for any semantic role V Pyatkin, P Roit, J Michael, R Tsarfaty, Y Goldberg, I Dagan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 38 | 2021 |
| Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models P Röttger, V Hofmann, V Pyatkin, M Hinck, HR Kirk, H Schütze, D Hovy ACL 2024 🏆 Outstanding Paper, 2024 | 37 | 2024 |
| ClarifyDelphi: Reinforced clarification questions with defeasibility rewards for social and moral situations V Pyatkin, JD Hwang, V Srikumar, X Lu, L Jiang, Y Choi, C Bhagavatula ACL, 2023 | 37* | 2023 |
| WILDBENCH: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild BY Lin, Y Deng, K Chandu, F Brahman, A Ravichander, V Pyatkin, N Dziri, ... arXiv preprint arXiv:2406.04770, 2024 | 33* | 2024 |
| QANom: Question-answer driven SRL for nominalizations A Klein, J Mamou, V Pyatkin, D Stepanov, H He, D Roth, L Zettlemoyer, ... Proceedings of the 28th international conference on computational …, 2020 | 30 | 2020 |
| Draw me a flower: Processing and grounding abstraction in natural language R Lachmy, V Pyatkin, A Manevich, R Tsarfaty Transactions of the Association for Computational Linguistics 10, 1341-1356, 2022 | 20* | 2022 |
| PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning F Brahman, C Bhagavatula, V Pyatkin, JD Hwang, XL Li, HJ Arai, ... The Twelfth International Conference on Learning Representations, 2023 | 18* | 2023 |
| The possible, the plausible, and the desirable: Event-based modality detection for language processing V Pyatkin, S Sadde, A Rubinstein, P Portner, R Tsarfaty Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 16 | 2021 |
| " You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation A Ettinger, JD Hwang, V Pyatkin, C Bhagavatula, Y Choi EMNLP Findings, 2023 | 15 | 2023 |
| Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback H Ivison, Y Wang, J Liu, Z Wu, V Pyatkin, N Lambert, NA Smith, Y Choi, ... NeurIPS, 2024 | 13 | 2024 |
| The art of saying no: Contextual noncompliance in language models F Brahman, S Kumar, V Balachandran, P Dasigi, V Pyatkin, ... NeurIPS, 2024 | 12* | 2024 |
| What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations K Rao, L Jiang, V Pyatkin, Y Gu, N Tandon, N Dziri, F Brahman, Y Choi EMNLP Findings, 2023 | 10* | 2023 |
| Just-dream-about-it: Figurative language understanding with dream-flute Y Gu, Y Fu, V Pyatkin, I Magnusson, BD Mishra, P Clark Proceedings of the 3rd Workshop on Figurative Language Processing (FLP), 2022 | 10 | 2022 |
| Design choices for crowdsourcing implicit discourse relations: revealing the biases introduced by task design V Pyatkin, F Yung, MCJ Scholman, R Tsarfaty, I Dagan, V Demberg Transactions of the Association for Computational Linguistics 11, 1014-1032, 2023 | 9 | 2023 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
