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MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment

MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment

17 June 2025
Junghwan Kim
Kieun Park
Sohee Park
Hyunggug Kim
Bongwon Suh
ArXiv (abs)PDFHTML

Papers citing "MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment"

4 / 4 papers shown
Title
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
Ran Zhang
Wei Zhao
Steffen Eger
118
10
0
24 Oct 2024
Tower: An Open Multilingual Large Language Model for Translation-Related
  Tasks
Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
Duarte M. Alves
José P. Pombal
Nuno M. Guerreiro
Pedro H. Martins
Joao Alves
...
Patrick Fernandes
Sweta Agrawal
Pierre Colombo
José G. C. de Souza
André F.T. Martins
LRM
107
155
0
27 Feb 2024
Exploring Document-Level Literary Machine Translation with Parallel
  Paragraphs from World Literature
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
Katherine Thai
Marzena Karpinska
Kalpesh Krishna
Bill Ray
M. Inghilleri
John Wieting
Mohit Iyyer
65
48
0
25 Oct 2022
No Language Left Behind: Scaling Human-Centered Machine Translation
No Language Left Behind: Scaling Human-Centered Machine Translation
Nllb team
Marta R. Costa-jussá
James Cross
Onur cCelebi
Maha Elbayad
...
Alexandre Mourachko
C. Ropers
Safiyyah Saleem
Holger Schwenk
Jeff Wang
MoE
226
1,266
0
11 Jul 2022
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