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20212026
most citedA Paradigm Shift: The Future of Machine Translation Lies with Large Language Models

29 citations · 29 across the 7 of their papers we have counts for

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cs.CL2025

SEO: Stochastic Experience Optimization for Large Language Models

Jitao Xu, Hongyun Zhou, Lei Shen +3

Large Language Models (LLMs) can benefit from useful experiences to improve their performance on specific tasks. However, finding helpful experiences for different LLMs is not obvi…

cs.CL2023

BiSync: A Bilingual Editor for Synchronized Monolingual Texts

Josep Crego, Jitao Xu, François Yvon

In our globalized world, a growing number of situations arise where people are required to communicate in one or several foreign languages. In the case of written communication, us…

cs.CL2023★ 29 cited

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models

Chenyang Lyu, Zefeng Du, Jitao Xu +7

Machine Translation (MT) has greatly advanced over the years due to the developments in deep neural networks. However, the emergence of Large Language Models (LLMs) like GPT-4 and…

cs.CL2022

Bilingual Synchronization: Restoring Translational Relationships with Editing Operations

Jitao Xu, Josep Crego, François Yvon

Machine Translation (MT) is usually viewed as a one-shot process that generates the target language equivalent of some source text from scratch. We consider here a more general set…

cs.CL2022

Integrating Translation Memories into Non-Autoregressive Machine Translation

Jitao Xu, Josep Crego, François Yvon

Non-autoregressive machine translation (NAT) has recently made great progress. However, most works to date have focused on standard translation tasks, even though some edit-based N…

cs.CL2022

Joint Generation of Captions and Subtitles with Dual Decoding

Jitao Xu, François Buet, Josep Crego +2

As the amount of audio-visual content increases, the need to develop automatic captioning and subtitling solutions to match the expectations of a growing international audience app…

cs.CL2021

One Source, Two Targets: Challenges and Rewards of Dual Decoding

Jitao Xu, François Yvon

Machine translation is generally understood as generating one target text from an input source document. In this paper, we consider a stronger requirement: to jointly generate two…

cs.CL2021

Can You Traducir This? Machine Translation for Code-Switched Input

Jitao Xu, François Yvon

Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or social contexts, which raises challenging problems for natural language processing tools. We f…