Kawin Ethayarajh

According to our database, Kawin Ethayarajh authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Checklist: On Unit-Testing Datasets with Usable Information.

Heidi C. Zhang, Shabnam Behzad, Kawin Ethayarajh, Dan Jurafsky

CoRR, 2024

KTO: Model Alignment as Prospect Theoretic Optimization.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela

CoRR, 2024

Model Alignment as Prospect Theoretic Optimization.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Anchor Points: Benchmarking Models with Much Fewer Examples.

Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2022

How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory.

Kawin Ethayarajh, Dan Jurafsky

CoRR, 2022

Understanding Dataset Difficulty with <i>V</i>-Usable Information.

Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta

Proceedings of the International Conference on Machine Learning, 2022

The Authenticity Gap in Human Evaluation.

Kawin Ethayarajh, Dan Jurafsky

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Richer Countries and Richer Representations.

Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words.

Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Information-Theoretic Measures of Dataset Difficulty.

Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta

CoRR, 2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Frequency-based Distortions in Contextualized Word Embeddings.

Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky

CoRR, 2021

Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking.

Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conditional probing: measuring usable information beyond a baseline.

John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Attention Flows are Shapley Value Explanations.

Kawin Ethayarajh, Dan Jurafsky

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

BLEU Neighbors: A Reference-less Approach to Automatic Evaluation.

Kawin Ethayarajh, Dorsa Sadigh

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Utility is in the Eye of the User: A Critique of NLP Leaderboards.

Kawin Ethayarajh, Dan Jurafsky

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds.

Kawin Ethayarajh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space.

Kawin Ethayarajh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

Kawin Ethayarajh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Understanding Linear Word Analogies.

Kawin Ethayarajh, David Duvenaud, Graeme Hirst

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Understanding Undesirable Word Embedding Associations.

Kawin Ethayarajh, David Duvenaud, Graeme Hirst

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline.

Kawin Ethayarajh

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017

The Effect of Photoperiod on the Mood of Reddit Users.

Kawin Ethayarajh, Frank Rudzicz

Cyberpsychology Behav. Soc. Netw., 2017