Valentina Pyatkin

According to our database1, Valentina Pyatkin authored at least 25 papers between 2017 and 2024.

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Bibliography

2024
RewardBench: Evaluating Reward Models for Language Modeling.
CoRR, 2024

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
CoRR, 2024

OLMo: Accelerating the Science of Language Models.
CoRR, 2024

Promptly Predicting Structures: The Return of Inference.
CoRR, 2024

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.
CoRR, 2023

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement.
CoRR, 2023

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning.
CoRR, 2023

Retrieving Texts based on Abstract Descriptions.
CoRR, 2023

Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design.
CoRR, 2023

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Sentence Union Generation as a Testbed for Text Consolidation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Draw Me a Flower: Processing and Grounding Abstraction in Natural Language.
Trans. Assoc. Comput. Linguistics, 2022

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations.
CoRR, 2022

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE.
CoRR, 2022

Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

QASem Parsing: Text-to-text Modeling of QA-based Semantics.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Draw Me a Flower: Grounding Formal Abstract Structures Stated in Informal Natural Language.
CoRR, 2021

Asking It All: Generating Contextualized Questions for any Semantic Role.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

QANom: Question-Answer driven SRL for Nominalizations.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2017
Discourse Relations and Conjoined VPs: Automated Sense Recognition.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017


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