The Effect of Photoperiod on the Mood of Reddit Users. - Kawin Ethayarajh; Frank Rudzicz (Cyberpsychology Behav. Soc. Netw., 2017)

Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline. - Kawin Ethayarajh (Rep4NLP@ACL, 2018)

Understanding Undesirable Word Embedding Associations. - Kawin Ethayarajh; David Duvenaud; Graeme Hirst (ACL (1), 2019)

Towards Understanding Linear Word Analogies. - Kawin Ethayarajh; David Duvenaud; Graeme Hirst (ACL (1), 2019)

How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. - Kawin Ethayarajh (EMNLP/IJCNLP (1), 2019)

Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. - Kawin Ethayarajh (EMNLP/IJCNLP (1), 2019)

Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. - Kawin Ethayarajh (ACL, 2020)

Utility is in the Eye of the User: A Critique of NLP Leaderboards. - Kawin Ethayarajh; Dan Jurafsky (EMNLP (1), 2020)

BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. - Kawin Ethayarajh; Dorsa Sadigh (Eval4NLP, 2020)

Attention Flows are Shapley Value Explanations. - Kawin Ethayarajh; Dan Jurafsky (ACL/IJCNLP (2), 2021)

Conditional probing: measuring usable information beyond a baseline. - John Hewitt; Kawin Ethayarajh; Percy Liang; Christopher D. Manning (EMNLP (1), 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 (NeurIPS, 2021)

Frequency-based Distortions in Contextualized Word Embeddings. - Kaitlyn Zhou; Kawin Ethayarajh; Dan Jurafsky (CoRR, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Information-Theoretic Measures of Dataset Difficulty. - Kawin Ethayarajh; Yejin Choi 001; Swabha Swayamdipta (CoRR, 2021)

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. - Kaitlyn Zhou; Kawin Ethayarajh; Dallas Card; Dan Jurafsky (ACL (2), 2022)

Richer Countries and Richer Representations. - Kaitlyn Zhou; Kawin Ethayarajh; Dan Jurafsky (ACL (Findings), 2022)

The Authenticity Gap in Human Evaluation. - Kawin Ethayarajh; Dan Jurafsky (EMNLP, 2022)

Understanding Dataset Difficulty with V-Usable Information. - Kawin Ethayarajh; Yejin Choi 001; Swabha Swayamdipta (ICML, 2022)

How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. - Kawin Ethayarajh; Dan Jurafsky (CoRR, 2022)

Anchor Points: Benchmarking Models with Much Fewer Examples. - Rajan Vivek; Kawin Ethayarajh; Diyi Yang; Douwe Kiela (EACL (1), 2024)

Model Alignment as Prospect Theoretic Optimization. - Kawin Ethayarajh; Winnie Xu; Niklas Muennighoff; Dan Jurafsky; Douwe Kiela (ICML, 2024)

KTO: Model Alignment as Prospect Theoretic Optimization. - Kawin Ethayarajh; Winnie Xu; Niklas Muennighoff; Dan Jurafsky; Douwe Kiela (CoRR, 2024)

Data Checklist: On Unit-Testing Datasets with Usable Information. - Heidi C. Zhang; Shabnam Behzad; Kawin Ethayarajh; Dan Jurafsky (CoRR, 2024)