Henry Scheible

dblp:362/8050 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Trustworthy machine learning · 87% Language models and text generation · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
fairness
0.712023
Deciphering Stereotypes in Pre-Trained Language Models · EMNLP 2023
Machine learning › Trustworthy machine learning › fairness › bias evaluation
stereotype analysis
0.712023
Deciphering Stereotypes in Pre-Trained Language Models · EMNLP 2023
Natural language and speech › Language models and text generation
pre-trained language model
0.212023
Deciphering Stereotypes in Pre-Trained Language Models · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

stereotype detection · 0.7probing · 0.7
YearPublicationVenuePosition
2023 Deciphering Stereotypes in Pre-Trained Language Models
abstract
Weicheng Ma, Henry Scheible, Brian Wang, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Lili Wang, Diyi Yang, Soroush Vosoughi. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Henry Scheible, Goutham Veeramachaneni, Pratim Chowdhary, Alan Sun, Andrew Koulogeorge, Diyi Yang, Soroush Vosoughi
EMNLP2