Imagen de Portada

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gain, Baban, Bandyopadhyay, Dibyanayan, Ekbal, Asif, Singh, Trilok Nath
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
por: Gain, Baban, et al.
Publicado: (2026)

Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models
por: Appicharla, Ramakrishna, et al.
Publicado: (2025)

Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
por: Gain, Baban, et al.
Publicado: (2023)

Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs
por: Kumar, Deepak, et al.
Publicado: (2026)

Quality Estimation based Feedback Training for Improving Pronoun Translation
por: Dhankhar, Harshit, et al.
Publicado: (2025)

Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2024)

CAuSE: Decoding Multimodal Classifiers using Faithful Natural Language Explanation
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2025)

Thinking Machines: A Survey of LLM based Reasoning Strategies
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2025)

Sparse Semantic Dimension as a Generalization Certificate for LLMs
por: Bandyopadhyay, Dibyanayan, et al.
Publicado: (2026)

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning
por: Appicharla, Ramakrishna, et al.
Publicado: (2024)

Computational Politeness in Natural Language Processing: A Survey
por: Priya, Priyanshu, et al.
Publicado: (2024)

CorIL: Towards Enriching Indian Language to Indian Language Parallel Corpora and Machine Translation Systems
por: Bhattacharjee, Soham, et al.
Publicado: (2025)

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
por: Panchal, Mihir, et al.
Publicado: (2026)

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs
por: Joshi, Ratnesh Kumar, et al.
Publicado: (2024)

Can Large Language Models Unlock Novel Scientific Research Ideas?
por: Kumar, Sandeep, et al.
Publicado: (2024)

Leveraging Large Language Models to Geolocate Linguistic Variations in Social Media Posts
por: Savarro, Davide, et al.
Publicado: (2024)

Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks
por: Joshi, Ratnesh Kumar, et al.
Publicado: (2024)

We Argue to Agree: Towards Personality-Driven Argumentation-Based Negotiation Dialogue Systems for Tourism
por: Priya, Priyanshu, et al.
Publicado: (2025)

Enhancing Text Classification with a Novel Multi-Agent Collaboration Framework Leveraging BERT
por: Baban, Hediyeh, et al.
Publicado: (2025)

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
por: Agostinelli, Victor, et al.
Publicado: (2023)

Towards Visually-Guided Movie Subtitle Translation for Indic Languages
por: Chintada, Tarun, et al.
Publicado: (2026)

Unlocking Reasoning Capability on Machine Translation in Large Language Models
por: Rajaee, Sara, et al.
Publicado: (2026)

LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation
por: Magdy, Samar M., et al.
Publicado: (2026)

Leveraging Large Language Models For Optimized Item Categorization using UNSPSC Taxonomy
por: Singh, Anmolika, et al.
Publicado: (2024)

Inductive Linguistic Reasoning with Large Language Models
por: Ramji, Raghav, et al.
Publicado: (2024)

When Reviews Disagree: Fine-Grained Contradiction Analysis in Scientific Peer Reviews
por: Kumar, Sandeep, et al.
Publicado: (2026)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models
por: Geng, Jiahui, et al.
Publicado: (2025)

Gender Bias in Machine Translation and The Era of Large Language Models
por: Vanmassenhove, Eva
Publicado: (2024)

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
por: Huang, Xu, et al.
Publicado: (2024)

Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
por: Ki, Dayeon, et al.
Publicado: (2024)

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study
por: Li, Andy, et al.
Publicado: (2025)

Are Large Language Models the future crowd workers of Linguistics?
por: Ferrazzo, Iris
Publicado: (2025)

Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation
por: Tan, Zhiyin, et al.
Publicado: (2025)

Steering Large Language Models for Machine Translation Personalization
por: Scalena, Daniel, et al.
Publicado: (2025)

AI-Augmented Surveys: Leveraging Large Language Models and Surveys for Opinion Prediction
por: Kim, Junsol, et al.
Publicado: (2023)

HindiLLM: Large Language Model for Hindi
por: Chouhan, Sanjay, et al.
Publicado: (2024)

A Unified Multi-Task Learning Architecture for Hate Detection Leveraging User-Based Information
por: Kapil, Prashant, et al.
Publicado: (2024)

Bangla AI: A Framework for Machine Translation Utilizing Large Language Models for Ethnic Media
por: Goni, MD Ashraful, et al.
Publicado: (2024)

FuxiMT: Sparsifying Large Language Models for Chinese-Centric Multilingual Machine Translation
por: Zhu, Shaolin, et al.
Publicado: (2025)

Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
por: Briva-Iglesias, Vicent, et al.
Publicado: (2024)