Kawin Ethayarajh
17 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Machine Learning
(16)
Core Methods
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Natural Language Processing
(9)
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(6)
Resources & Methods
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Artificial Intelligence
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Deep Learning
(5)
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word embedding
(7)
model evaluation
(3)
contextual embedding
(3)
representation learning
(2)
vector arithmetic
(2)
information theory
(2)
cosine similarity
(2)
semantic representation
(2)
model ranking
(2)
bias measurement
(2)
natural language processing
(1)
language model evaluation
(1)
bias detection
(1)
explainable ai
(1)
text generation
(1)
embedding space
(1)
nearest neighbor
(1)
natural language generation
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matrix factorization
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energy efficiency
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Papers
Anchor Points: Benchmarking Models with Much Fewer Examples
EACL 2024
Model Alignment as Prospect Theoretic Optimization
ICML 2024
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words
ACL 2022
Richer Countries and Richer Representations
ACL 2022
The Authenticity Gap in Human Evaluation
EMNLP 2022
Understanding Dataset Difficulty with V-Usable Information
ICML 2022
Attention Flows are Shapley Value Explanations
ACL 2021
Conditional probing: measuring usable information beyond a baseline
EMNLP 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
NeurIPS 2021
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation
EMNLP 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
ACL 2020
Utility is in the Eye of the User: A Critique of NLP Leaderboards
EMNLP 2020
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
EMNLP 2019
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
EMNLP 2019
Towards Understanding Linear Word Analogies
ACL 2019
Understanding Undesirable Word Embedding Associations
ACL 2019
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline
ACL 2018