VLDB 2026 Research / reviewers in the wild / expert

Sony Trenous

dblp:320/4220 · DBLP profile ↗
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3ranked-venue papers
0as first author
3since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 3 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
Machine translation · 87% Language models and text generation · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Machine translation
document-level machine translation		 1.012026
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation · ACL (1) 2026
Natural language and speech › Machine translation
translation refinement		 1.012026
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation · ACL (1) 2026

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

systematic evaluation · 1.0
YearPublicationVenuePosition
2026 What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
abstract
Shaomu Tan, Dawei Zhu, Ke Tran, Michael Denkowski, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Shaomu Tan, Ke Tran, Michael J. Denkowski, Sony Trenous, Leonardo F. R. Ribeiro, William J. Byrne, Felix Hieber
 ACL (1)5
2024 A Preference-driven Paradigm for Enhanced Translation with Large Language Models
abstract
Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
Sony Trenous, Xiaoyu Shen 0001, Dietrich Klakow, William J. Byrne, Eva Hasler
 NAACL-HLT2
2022 The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
abstract
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, Bill Byrne, Felix Hieber. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.
Tobias Domhan, Eva Hasler, Ke Tran, Sony Trenous, William J. Byrne, Felix Hieber
 NAACL-HLT4