Copertina

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Haoran, Kim, Young Jin, Sharaf, Amr, Awadalla, Hany Hassan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
di: Xu, Haoran, et al.
Pubblicazione: (2024)

A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
di: Lyu, Chenyang, et al.
Pubblicazione: (2023)

A Novel Paradigm Boosting Translation Capabilities of Large Language Models
di: Guo, Jiaxin, et al.
Pubblicazione: (2024)

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

Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models
di: Gao, Pengzhi, et al.
Pubblicazione: (2024)

A Preference-driven Paradigm for Enhanced Translation with Large Language Models
di: Zhu, Dawei, et al.
Pubblicazione: (2024)

Simultaneous Machine Translation with Large Language Models
di: Wang, Minghan, et al.
Pubblicazione: (2023)

Fine-grained Gender Control in Machine Translation with Large Language Models
di: Lee, Minwoo, et al.
Pubblicazione: (2024)

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
di: Yu, Yiyao, et al.
Pubblicazione: (2025)

On-the-Fly Fusion of Large Language Models and Machine Translation
di: Hoang, Hieu, et al.
Pubblicazione: (2023)

Gender-specific Machine Translation with Large Language Models
di: Sánchez, Eduardo, et al.
Pubblicazione: (2023)

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
di: Zhu, Wenhao, et al.
Pubblicazione: (2023)

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
di: Lu, Hongyuan, et al.
Pubblicazione: (2023)

Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
di: Zhan, Runzhe, et al.
Pubblicazione: (2025)

Redefining Machine Translation on Social Network Services with Large Language Models
di: Guo, Hongcheng, et al.
Pubblicazione: (2025)

Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation
di: Qian, Shenbin, et al.
Pubblicazione: (2026)

SiLLM: Large Language Models for Simultaneous Machine Translation
di: Guo, Shoutao, et al.
Pubblicazione: (2024)

Adapting Large Language Models for Document-Level Machine Translation
di: Wu, Minghao, et al.
Pubblicazione: (2024)

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

Large Language Models as Annotators for Machine Translation Quality Estimation
di: Wang, Sidi, et al.
Pubblicazione: (2026)

Anticipating Future with Large Language Model for Simultaneous Machine Translation
di: Ouyang, Siqi, et al.
Pubblicazione: (2024)

Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
di: Xu, Haoran, et al.
Pubblicazione: (2025)

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models
di: Moslem, Yasmin, et al.
Pubblicazione: (2023)

Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
di: Piergentili, Andrea, et al.
Pubblicazione: (2024)

What do Large Language Models Need for Machine Translation Evaluation?
di: Qian, Shenbin, et al.
Pubblicazione: (2024)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
di: Ramos, Miguel Moura, et al.
Pubblicazione: (2025)

Instruction-tuned Large Language Models for Machine Translation in the Medical Domain
di: Rios, Miguel
Pubblicazione: (2024)

Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
di: Yuan, Zekun, et al.
Pubblicazione: (2026)

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

Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models
di: Yuksel, Kamer Ali, et al.
Pubblicazione: (2025)

Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models
di: Shang, Yuzhe, et al.
Pubblicazione: (2026)

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

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

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

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

Enhancing Large Language Models'Machine Translation via Dynamic Focus Anchoring
di: Ding, Qiuyu, et al.
Pubblicazione: (2025)

Context-Informed Machine Translation of Manga using Multimodal Large Language Models
di: Lippmann, Philip, et al.
Pubblicazione: (2024)

Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
di: Pang, Jianhui, et al.
Pubblicazione: (2024)

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding
di: Zeng, Jiali, et al.
Pubblicazione: (2023)

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