Cover Image

Word Alignment as Preference for Machine Translation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Qiyu, Nagata, Masaaki, Miao, Zhongtao, Tsuruoka, Yoshimasa
Format:	Preprint
Published:	2024
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

NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning
by: Miao, Zhongtao, et al.
Published: (2026)

Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback
by: Miao, Zhongtao, et al.
Published: (2024)

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
by: Miao, Zhongtao, et al.
Published: (2024)

GRC: Unifying Reasoning-Driven Generation, Retrieval and Compression
by: Miao, Zhongtao, et al.
Published: (2026)

Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment
by: Zhao, Kaiyan, et al.
Published: (2025)

PMMT: Preference Alignment in Multilingual Machine Translation via LLM Distillation
by: Sun, Shuqiao, et al.
Published: (2024)

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
by: Zhao, Kaiyan, et al.
Published: (2023)

SimulPL: Aligning Human Preferences in Simultaneous Machine Translation
by: Yu, Donglei, et al.
Published: (2025)

From Words to Worlds: Benchmarking Cross-Cultural Cultural Understanding in Machine Translation
by: Han, Bangju, et al.
Published: (2026)

Predicting Word Similarity in Context with Referential Translation Machines
by: Biçici, Ergun
Published: (2024)

Bridging the Gap Between Preference Alignment and Machine Unlearning
by: Feng, Xiaohua, et al.
Published: (2025)

Reading Comprehension using Entity-based Memory Network
by: Wang, Xun, et al.
Published: (2016)

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
by: Mao, Zhuoyuan, et al.
Published: (2024)

Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
by: Yang, Wen, et al.
Published: (2025)

BinaryAlign: Word Alignment as Binary Sequence Labeling
by: Latouche, Gaetan Lopez, et al.
Published: (2024)

Preference Ranking Optimization for Human Alignment
by: Song, Feifan, et al.
Published: (2023)

Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
by: Zhang, Jianfei, et al.
Published: (2024)

CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation
by: Cui, Guofeng, et al.
Published: (2025)

CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
by: Dragomir, Alexandra, et al.
Published: (2026)

Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
by: Sarti, Gabriele, et al.
Published: (2025)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
by: Wu, Jiayi, et al.
Published: (2024)

ALIGN: Word Association Learning for Cultural Alignment in Large Language Models
by: Liu, Chunhua, et al.
Published: (2025)

Preference Alignment Improves Language Model-Based TTS
by: Tian, Jinchuan, et al.
Published: (2024)

On-the-fly Preference Alignment via Principle-Guided Decoding
by: Zhu, Mingye, et al.
Published: (2025)

Not All Preferences are What You Need for Post-Training: Selective Alignment Strategy for Preference Optimization
by: Dong, Zhijin
Published: (2025)

"Hunt Takes Hare": Theming Games Through Game-Word Vector Translation
by: Younès, Rabii, et al.
Published: (2024)

Larger or Smaller Reward Margins to Select Preferences for Alignment?
by: Huang, Kexin, et al.
Published: (2025)

From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
by: Li, Jia-Nan, et al.
Published: (2025)

Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
by: Conde, Javier, et al.
Published: (2025)

Sociotechnical Effects of Machine Translation
by: Moorkens, Joss, et al.
Published: (2025)

More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
by: Li, Aaron J., et al.
Published: (2024)

Uncovering Factor Level Preferences to Improve Human-Model Alignment
by: Oh, Juhyun, et al.
Published: (2024)

Self-supervised Attribute-aware Dynamic Preference Ranking Alignment
by: Yang, Hongyu, et al.
Published: (2025)

Enhancing Multilingual Counterfactual Generation through Alignment-as-Preference Optimization
by: Wang, Yilong, et al.
Published: (2026)

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
by: Zhang, Yichi, et al.
Published: (2023)

Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)

MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration
by: Anugraha, David, et al.
Published: (2024)

Translation of Multifaceted Data without Re-Training of Machine Translation Systems
by: Moon, Hyeonseok, et al.
Published: (2024)

Transformer-Encoder Trees for Efficient Multilingual Machine Translation and Speech Translation
by: Guan, Yiwen, et al.
Published: (2025)

Edeflip: Supervised Word Translation between English and Yoruba
by: Abioye, Ikeoluwa, et al.
Published: (2025)