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Demo Data from SIGIR 2026 / reviewers in the wild / expert

Silvio Severino

dblp:329/6743 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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
Language models and text generation · 62% Efficient and distributed learning · 38%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › decoding › decoding strategy
parallel decoding		 0.712023
Accelerating Transformer Inference for Translation via Parallel Decoding · ACL (1) 2023
Machine learning › Efficient and distributed learning
inference acceleration		 0.212023
Accelerating Transformer Inference for Translation via Parallel Decoding · ACL (1) 2023
Machine learning › Efficient and distributed learning › model inference
transformer inference		 0.212023
Accelerating Transformer Inference for Translation via Parallel Decoding · ACL (1) 2023

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

transformer inference · 0.7parallel decoding · 0.7
YearPublicationVenuePosition
2023 Accelerating Transformer Inference for Translation via Parallel Decoding
abstract
Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodola. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin, Emanuele Rodolà
 ACL (1)2