Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Benjamin Fineran

dblp:315/9508 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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
Efficient and distributed learning · 91% Language models and text generation · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning
model compression		 0.612022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models · EMNLP 2022
Machine learning › Efficient and distributed learning › model compression
pruning		 0.612022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models · EMNLP 2022
Machine learning › Efficient and distributed learning › model compression › pruning
second-order pruning		 0.612022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models · EMNLP 2022
Natural language and speech › Language models and text generation
large language model		 0.212022
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models · EMNLP 2022

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

second-order optimization · 0.6layer-wise pruning · 0.6
YearPublicationVenuePosition
2022 The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
abstract
Eldar Kurtic, Daniel Campos, Tuan Nguyen, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
Eldar Kurtic, Daniel Campos, Elias Frantar, Mark Kurtz, Benjamin Fineran, Michael Goin, Dan Alistarh
 EMNLP6