Cover Image

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zeng, Jiali, Meng, Fandong, Yin, Yongjing, Zhou, Jie
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TIM: Teaching Large Language Models to Translate with Comparison
by: Zeng, Jiali, et al.
Published: (2023)

LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation
by: Yin, Yongjing, et al.
Published: (2024)

Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective
by: Shao, Chenze, et al.
Published: (2024)

TasTe: Teaching Large Language Models to Translate through Self-Reflection
by: Wang, Yutong, et al.
Published: (2024)

Generative Multi-Modal Knowledge Retrieval with Large Language Models
by: Long, Xinwei, et al.
Published: (2024)

THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
by: Liang, Yunlong, et al.
Published: (2025)

Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
by: Liu, Yijin, et al.
Published: (2024)

CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models
by: Chen, Meiqi, et al.
Published: (2024)

Retrieval-Augmented Machine Translation with Unstructured Knowledge
by: Wang, Jiaan, et al.
Published: (2024)

LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
by: Sun, Zengkui, et al.
Published: (2024)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
by: Shao, Chenze, et al.
Published: (2024)

Large Language Models Are Not Robust Multiple Choice Selectors
by: Zheng, Chujie, et al.
Published: (2023)

EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation
by: Xu, Yulin, et al.
Published: (2022)

DeepTrans: Deep Reasoning Translation via Reinforcement Learning
by: Wang, Jiaan, et al.
Published: (2025)

DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
by: Wang, Yutong, et al.
Published: (2024)

Figure It Out: Improve the Frontier of Reasoning with Executable Visual States
by: Chen, Meiqi, et al.
Published: (2025)

Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation
by: Lan, Zhibin, et al.
Published: (2024)

TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
by: Yang, Zhen, et al.
Published: (2023)

ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
by: Wang, Jiaan, et al.
Published: (2025)

SlangDIT: Benchmarking LLMs in Interpretative Slang Translation
by: Liang, Yunlong, et al.
Published: (2025)

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Luo, Yun, et al.
Published: (2023)

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information
by: Ping, Bowen, et al.
Published: (2025)

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
by: Guan, Xinyan, et al.
Published: (2025)

Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words
by: Chen, Yijie, et al.
Published: (2024)

Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study
by: Mu, Yongyu, et al.
Published: (2025)

Cross-layer Attention Sharing for Pre-trained Large Language Models
by: Mu, Yongyu, et al.
Published: (2024)

DRT: Deep Reasoning Translation via Long Chain-of-Thought
by: Wang, Jiaan, et al.
Published: (2024)

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation
by: Li, Kunquan, et al.
Published: (2026)

Relay Decoding: Concatenating Large Language Models for Machine Translation
by: Fu, Chengpeng, et al.
Published: (2024)

MiniPLM: Knowledge Distillation for Pre-Training Language Models
by: Gu, Yuxian, et al.
Published: (2024)

An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025)

Continuous Autoregressive Language Models
by: Shao, Chenze, et al.
Published: (2025)

On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)

CM-Align: Consistency-based Multilingual Alignment for Large Language Models
by: Zhang, Xue, et al.
Published: (2025)

LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning
by: Lan, Zhibin, et al.
Published: (2025)

Language Generation with Strictly Proper Scoring Rules
by: Shao, Chenze, et al.
Published: (2024)

Machine Translation with Large Language Models: Decoder Only vs. Encoder-Decoder
by: M., Abhinav P., et al.
Published: (2024)

Semformer: Transformer Language Models with Semantic Planning
by: Yin, Yongjing, et al.
Published: (2024)

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation
by: Luo, Yingfeng, et al.
Published: (2025)

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
by: Hu, Yong, et al.
Published: (2022)