29 citations · 29 across the 7 of their papers we have counts for
11 papers
Active Diffusion-Based Inference for Ill-Posed Inverse Problems under Incomplete Priors
Jitao Xu, Nobuo Sato, Yaohang Li
Many scientific and engineering applications require estimating unknown parameters from experimentally observable data -- an inverse problem that is inherently challenging due to n…
Learning Transverse Momentum Distributions from Raw Scattering Events via Conditional Diffusion
Jitao Xu, Christopher Cocuzza, Kevin Braga +3
Extracting transverse momentum dependent parton distribution functions (TMD PDFs) from semi-inclusive deep inelastic scattering (SIDIS) data is a central goal of the nucleon struct…
Neural Network Representation of Generalized Parton Distributions (NNGPD)
Jitao Xu, Ho Jang, Zaki Panjsheeri +10
We present a neural-network-based framework for modeling generalized parton distributions, referred to as NNGPD, in which GPDs are represented as flexible functions constrained thr…
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…
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…
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…
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…
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…
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…
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…
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…