Kawin Ethayarajh
20 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (6) π Conference Polyglot (6) π Cross-Pollinator (11)
π
Academic Marathon
(6)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
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Keyword Trendsetter Combo
(3)
πΊ
Lone Wolf
(6)
π
Keyword Champion
(3)
π₯
Unstoppable
(5)
π
Century Club
(20)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(90)
β
The Questioner
(3)
Conferences
ACL (7)
EMNLP (6)
IJCNLP (3)
ICML (2)
EACL (1)
NIPS (1)
Top co-authors
Keywords
word embedding
(9)
vector arithmetic
(3)
model evaluation
(3)
contextual embedding
(3)
cosine similarity
(3)
attention flow
(2)
representation learning
(2)
bias measurement
(2)
analogical reasoning
(2)
orthogonal transformation
(2)
linear transformation
(2)
shapley value
(2)
static embedding
(2)
contextualized word representation
(2)
information theory
(2)
semantic representation
(2)
model ranking
(2)
feature attribution
(2)
bias detection
(1)
language model evaluation
(1)
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
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
ICML 2022
The Authenticity Gap in Human Evaluation
EMNLP 2022
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
NIPS 2021
Attention Flows are Shapley Value Explanations
ACL 2021
Conditional probing: measuring usable information beyond a baseline
EMNLP 2021
Attention Flows are Shapley Value Explanations
IJCNLP 2021
Utility is in the Eye of the User: A Critique of NLP Leaderboards
EMNLP 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
ACL 2020
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation
EMNLP 2020
Understanding Undesirable Word Embedding Associations
ACL 2019
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
IJCNLP 2019
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
IJCNLP 2019
Towards Understanding Linear Word Analogies
ACL 2019
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space
EMNLP 2019
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline
ACL 2018