Kawin Ethayarajh

39 papers A* 5Journal 22Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mecha-nudges for Machines. CoRR Giulio Frey, Kawin Ethayarajh
2025	J	`jnl`	Humanline: Online Alignment as Perceptual Loss. CoRR Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh
2024	—	`conf`	Anchor Points: Benchmarking Models with Much Fewer Examples. EACL (1) Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela
2024	J	`jnl`	Data Checklist: On Unit-Testing Datasets with Usable Information. CoRR Heidi C. Zhang, Shabnam Behzad, Kawin Ethayarajh, Dan Jurafsky
2024	J	`jnl`	KTO: Model Alignment as Prospect Theoretic Optimization. CoRR Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2024	A*	`conf`	Model Alignment as Prospect Theoretic Optimization. ICML Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2023	J	`jnl`	Anchor Points: Benchmarking Models with Much Fewer Examples. CoRR Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela
2022	J	`jnl`	How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. CoRR Kawin Ethayarajh, Dan Jurafsky
2022	—	`conf`	Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022	J	`jnl`	Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022	—	`conf`	Richer Countries and Richer Representations. ACL (Findings) Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022	J	`jnl`	Richer Countries and Richer Representations. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022	A*	`conf`	The Authenticity Gap in Human Evaluation. EMNLP Kawin Ethayarajh, Dan Jurafsky
2022	A*	`conf`	Understanding Dataset Difficulty with ICML Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
2021	—	`conf`	Attention Flows are Shapley Value Explanations. ACL/IJCNLP (2) Kawin Ethayarajh, Dan Jurafsky
2021	J	`jnl`	Attention Flows are Shapley Value Explanations. CoRR Kawin Ethayarajh, Dan Jurafsky
2021	—	`conf`	Conditional probing: measuring usable information beyond a baseline. EMNLP (1) John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
2021	J	`jnl`	Conditional probing: measuring usable information beyond a baseline. CoRR John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning
2021	A*	`conf`	Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. NeurIPS Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela
2021	J	`jnl`	Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. CoRR Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela
2021	J	`jnl`	Frequency-based Distortions in Contextualized Word Embeddings. CoRR Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2021	J	`jnl`	Information-Theoretic Measures of Dataset Difficulty. CoRR Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta
2021	J	`jnl`	On the Opportunities and Risks of Foundation Models. CoRR 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.
2020	—	`conf`	BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. Eval4NLP Kawin Ethayarajh, Dorsa Sadigh
2020	J	`jnl`	BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. CoRR Kawin Ethayarajh, Dorsa Sadigh
2020	A*	`conf`	Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. ACL Kawin Ethayarajh
2020	J	`jnl`	Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. CoRR Kawin Ethayarajh
2020	—	`conf`	Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) Kawin Ethayarajh, Dan Jurafsky
2020	J	`jnl`	Utility is in the Eye of the User: A Critique of NLP Leaderboards. CoRR Kawin Ethayarajh, Dan Jurafsky
2019	—	`conf`	How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. EMNLP/IJCNLP (1) Kawin Ethayarajh
2019	J	`jnl`	How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. CoRR Kawin Ethayarajh
2019	—	`conf`	Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. EMNLP/IJCNLP (1) Kawin Ethayarajh
2019	J	`jnl`	Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. CoRR Kawin Ethayarajh
2019	—	`conf`	Towards Understanding Linear Word Analogies. ACL (1) Kawin Ethayarajh, David Duvenaud, Graeme Hirst
2019	—	`conf`	Understanding Undesirable Word Embedding Associations. ACL (1) Kawin Ethayarajh, David Duvenaud, Graeme Hirst
2019	J	`jnl`	Understanding Undesirable Word Embedding Associations. CoRR Kawin Ethayarajh, David Duvenaud, Graeme Hirst
2018	J	`jnl`	Towards Understanding Linear Word Analogies. CoRR Kawin Ethayarajh, David Duvenaud, Graeme Hirst
2018	—	`conf`	Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline. Rep4NLP@ACL Kawin Ethayarajh
2017	J	`jnl`	The Effect of Photoperiod on the Mood of Reddit Users. Cyberpsychology Behav. Soc. Netw. Kawin Ethayarajh, Frank Rudzicz