Cover Image

Iterative Translation Refinement with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Pinzhen, Guo, Zhicheng, Haddow, Barry, Heafield, Kenneth
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?
by: Chen, Pinzhen, et al.
Published: (2024)

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
by: Chen, Pinzhen, et al.
Published: (2023)

MatheMagic: Generating Dynamic Mathematics Benchmarks Robust to Memorization
by: O'Brien, Dayyán, et al.
Published: (2025)

Context and System Fusion in Post-ASR Emotion Recognition with Large Language Models
by: Stepachev, Pavel, et al.
Published: (2024)

The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics
by: Bogoychev, Nikolay, et al.
Published: (2023)

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?
by: Zhu, Dawei, et al.
Published: (2024)

Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation
by: Iyer, Vivek, et al.
Published: (2024)

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task
by: Ranaldi, Leonardo, et al.
Published: (2025)

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
by: Zhou, Changzhi, et al.
Published: (2025)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
by: Devine, Peter, et al.
Published: (2026)

Generics are puzzling. Can language models find the missing piece?
by: Calderón, Gustavo Cilleruelo, et al.
Published: (2024)

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing
by: Koneru, Sai, et al.
Published: (2023)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

DocHPLT: A Massively Multilingual Document-Level Translation Dataset
by: O'Brien, Dayyán, et al.
Published: (2025)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
by: Du, Chengyu, et al.
Published: (2024)

Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement
by: Tsai, Yu-Che, et al.
Published: (2025)

Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
by: Li, Yinghui, et al.
Published: (2025)

Translate-and-Revise: Boosting Large Language Models for Constrained Translation
by: Huang, Pengcheng, et al.
Published: (2024)

Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)

Large Language Models as Psychological Simulators: A Methodological Guide
by: Lin, Zhicheng
Published: (2025)

Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement
by: Yu, Simon, et al.
Published: (2024)

Spontaneous Reward Hacking in Iterative Self-Refinement
by: Pan, Jane, et al.
Published: (2024)

LLM-based Translation Inference with Iterative Bilingual Understanding
by: Chen, Andong, et al.
Published: (2024)

Iterative Prompting with Persuasion Skills in Jailbreaking Large Language Models
by: Ke, Shih-Wen, et al.
Published: (2025)

ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)

MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic Tuning
by: Zheng, Muyang, et al.
Published: (2025)

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

Impact of Task Phrasing on Presumptions in Large Language Models
by: Ong, Kenneth J. K.
Published: (2026)

Pitfalls and Outlooks in Using COMET
by: Zouhar, Vilém, et al.
Published: (2024)

Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving
by: Chen, Andong, et al.
Published: (2024)

UCCIX: Irish-eXcellence Large Language Model
by: Tran, Khanh-Tung, et al.
Published: (2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models
by: Xu, Qiancheng, et al.
Published: (2024)

Assisting Research Proposal Writing with Large Language Models: Evaluation and Refinement
by: Ren, Jing, et al.
Published: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
by: Wang, Xinyuan, et al.
Published: (2025)

Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement
by: Ye, Liqin, et al.
Published: (2025)

QueEn: A Large Language Model for Quechua-English Translation
by: Chen, Junhao, et al.
Published: (2024)

R2Q: Towards Robust 2-Bit Large Language Models via Residual Refinement Quantization
by: Chen, Jiayi, et al.
Published: (2025)

Advancing Single and Multi-task Text Classification through Large Language Model Fine-tuning
by: Zhao, Hang, et al.
Published: (2024)

Discourse Graph Guided Document Translation with Large Language Models
by: Pham, Viet-Thanh, et al.
Published: (2025)

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