Image de couverture de livre

Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Guttmann, Kamil, Pokrywka, Mikołaj, Charkiewicz, Adrian, Nowakowski, Artur
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
par: Guttmann, Kamil, et autres
Publié: (2026)

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation
par: Lyu, Boxuan, et autres
Publié: (2025)

Uncertainty-Aware Decoding with Minimum Bayes Risk
par: Daheim, Nico, et autres
Publié: (2025)

MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality
par: Kot, Artur, et autres
Publié: (2025)

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding
par: Natsumi, Koki, et autres
Publié: (2025)

ForMaT: Dataset for Visually-Grounded Multilingual PDF Translation
par: Ciesiółka, Michał, et autres
Publié: (2026)

Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation
par: Lyu, Boxuan, et autres
Publié: (2024)

Self-Speculative Biased Decoding for Faster Re-Translation
par: Zeng, Linxiao, et autres
Publié: (2025)

Exploring and Improving Drafts in Blockwise Parallel Decoding
par: Kim, Taehyeon, et autres
Publié: (2024)

Integrative Decoding: Improve Factuality via Implicit Self-consistency
par: Cheng, Yi, et autres
Publié: (2024)

Self-generated Replay Memories for Continual Neural Machine Translation
par: Resta, Michele, et autres
Publié: (2024)

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
par: Yang, Wenjie, et autres
Publié: (2025)

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
par: Zhang, Jianyi, et autres
Publié: (2024)

On the True Distribution Approximation of Minimum Bayes-Risk Decoding
par: Ohashi, Atsumoto, et autres
Publié: (2024)

Mitigating Metric Bias in Minimum Bayes Risk Decoding
par: Kovacs, Geza, et autres
Publié: (2024)

Accelerating Transformer Inference for Translation via Parallel Decoding
par: Santilli, Andrea, et autres
Publié: (2023)

On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms
par: Yue, Richard, et autres
Publié: (2024)

Model-Based Minimum Bayes Risk Decoding for Text Generation
par: Jinnai, Yuu, et autres
Publié: (2023)

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
par: Jinnai, Yuu, et autres
Publié: (2024)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
par: Phan, Phuc, et autres
Publié: (2024)

Online DPO: Online Direct Preference Optimization with Fast-Slow Chasing
par: Qi, Biqing, et autres
Publié: (2024)

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
par: Jinnai, Yuu, et autres
Publié: (2024)

Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models
par: Bazaga, Adrián, et autres
Publié: (2025)

Sequence Shortening for Context-Aware Machine Translation
par: Mąka, Paweł, et autres
Publié: (2024)

Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods
par: Yue, Richard, et autres
Publié: (2024)

Steering Large Language Models for Machine Translation Personalization
par: Scalena, Daniel, et autres
Publié: (2025)

Emergent Communication Pretraining for Few-Shot Machine Translation
par: Li, Yaoyiran, et autres
Publié: (2020)

Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross Encoders
par: Pokrywka, Jakub
Publié: (2024)

DistillSpec: Improving Speculative Decoding via Knowledge Distillation
par: Zhou, Yongchao, et autres
Publié: (2023)

The Structure of Relation Decoding Linear Operators in Large Language Models
par: Christ, Miranda Anna, et autres
Publié: (2025)

Integrating Pre-trained Language Model into Neural Machine Translation
par: Hwang, Soon-Jae, et autres
Publié: (2023)

Many-to-English Machine Translation Tools, Data, and Pretrained Models
par: Gowda, Thamme, et autres
Publié: (2021)

Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
par: Olmo, Jeffrey, et autres
Publié: (2024)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding
par: Elhoushi, Mostafa, et autres
Publié: (2024)

On Creating an English-Thai Code-switched Machine Translation in Medical Domain
par: Pengpun, Parinthapat, et autres
Publié: (2024)

Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
par: Meng, Yan, et autres
Publié: (2024)

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
par: Gurav, Namrata Patil, et autres
Publié: (2026)

CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
par: Dragomir, Alexandra, et autres
Publié: (2026)

Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models
par: Mohammadshahi, Alireza, et autres
Publié: (2023)

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
par: Chuang, Yung-Sung, et autres
Publié: (2023)