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Valentina Pyatkin
Valentina Pyatkin
Allen Institute for AI & University of Washington
Bestätigte E-Mail-Adresse bei allenai.org - Startseite
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Zitiert von
Zitiert von
Jahr
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
169*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
1352023
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
114*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
65*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
53*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
512020
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
382021
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, 2022
37*2022
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
352024
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
32*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
302020
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
162021
" 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
142023
The art of saying no: Contextual noncompliance in language models
F Brahman, S Kumar, V Balachandran, P Dasigi, V Pyatkin, ...
NeurIPS, 2024
12*2024
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
122024
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
102022
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
9*2023
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
92023
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