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Kawin Ethayarajh
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2020 – today
- 2024
- [c16]Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela:
Anchor Points: Benchmarking Models with Much Fewer Examples. EACL (1) 2024: 1576-1601 - [i18]Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela:
KTO: Model Alignment as Prospect Theoretic Optimization. CoRR abs/2402.01306 (2024) - 2023
- [i17]Rajan Vivek, Kawin Ethayarajh, Diyi Yang, Douwe Kiela:
Anchor Points: Benchmarking Models with Much Fewer Examples. CoRR abs/2309.08638 (2023) - 2022
- [c15]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card
, Dan Jurafsky:
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) 2022: 401-423 - [c14]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. ACL (Findings) 2022: 2074-2085 - [c13]Kawin Ethayarajh, Dan Jurafsky:
The Authenticity Gap in Human Evaluation. EMNLP 2022: 6056-6070 - [c12]Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta:
Understanding Dataset Difficulty with V-Usable Information. ICML 2022: 5988-6008 - [i16]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky:
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR abs/2205.05092 (2022) - [i15]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. CoRR abs/2205.05093 (2022) - [i14]Kawin Ethayarajh, Dan Jurafsky:
How Human is Human Evaluation? Improving the Gold Standard for NLG with Utility Theory. CoRR abs/2205.11930 (2022) - 2021
- [c11]Kawin Ethayarajh, Dan Jurafsky:
Attention Flows are Shapley Value Explanations. ACL/IJCNLP (2) 2021: 49-54 - [c10]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. EMNLP (1) 2021: 1626-1639 - [c9]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. NeurIPS 2021: 10351-10367 - [i13]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Frequency-based Distortions in Contextualized Word Embeddings. CoRR abs/2104.08465 (2021) - [i12]Kawin Ethayarajh, Dan Jurafsky:
Attention Flows are Shapley Value Explanations. CoRR abs/2105.14652 (2021) - [i11]Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams
, Douwe Kiela:
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. CoRR abs/2106.06052 (2021) - [i10]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 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.:
On the Opportunities and Risks of Foundation Models. CoRR abs/2108.07258 (2021) - [i9]John Hewitt, Kawin Ethayarajh, Percy Liang, Christopher D. Manning:
Conditional probing: measuring usable information beyond a baseline. CoRR abs/2109.09234 (2021) - [i8]Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta:
Information-Theoretic Measures of Dataset Difficulty. CoRR abs/2110.08420 (2021) - 2020
- [c8]Kawin Ethayarajh:
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. ACL 2020: 2914-2919 - [c7]Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. EMNLP (1) 2020: 4846-4853 - [c6]Kawin Ethayarajh, Dorsa Sadigh:
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. Eval4NLP 2020: 40-50 - [i7]Kawin Ethayarajh:
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds. CoRR abs/2004.12332 (2020) - [i6]Kawin Ethayarajh, Dorsa Sadigh:
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation. CoRR abs/2004.12726 (2020) - [i5]Kawin Ethayarajh, Dan Jurafsky:
Utility is in the Eye of the User: A Critique of NLP Leaderboards. CoRR abs/2009.13888 (2020)
2010 – 2019
- 2019
- [c5]Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Understanding Undesirable Word Embedding Associations. ACL (1) 2019: 1696-1705 - [c4]Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Towards Understanding Linear Word Analogies. ACL (1) 2019: 3253-3262 - [c3]Kawin Ethayarajh:
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. EMNLP/IJCNLP (1) 2019: 55-65 - [c2]Kawin Ethayarajh:
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. EMNLP/IJCNLP (1) 2019: 3501-3506 - [i4]Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Understanding Undesirable Word Embedding Associations. CoRR abs/1908.06361 (2019) - [i3]Kawin Ethayarajh:
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space. CoRR abs/1909.00504 (2019) - [i2]Kawin Ethayarajh:
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings. CoRR abs/1909.00512 (2019) - 2018
- [c1]Kawin Ethayarajh:
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline. Rep4NLP@ACL 2018: 91-100 - [i1]Kawin Ethayarajh, David Duvenaud, Graeme Hirst:
Towards Understanding Linear Word Analogies. CoRR abs/1810.04882 (2018) - 2017
- [j1]Kawin Ethayarajh, Frank Rudzicz
:
The Effect of Photoperiod on the Mood of Reddit Users. Cyberpsychology Behav. Soc. Netw. 20(4): 238-245 (2017)
Coauthor Index
aka: Dan Jurafsky
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last updated on 2024-08-06 21:03 CEST by the dblp team
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