Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Di, Aycock, Seth, Monz, Christof |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
by: Aycock, Seth, et al.
Published: (2024)
by: Aycock, Seth, et al.
Published: (2024)
Calibrating Translation Decoding with Quality Estimation on LLMs
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
by: Wu, Di, et al.
Published: (2023)
by: Wu, Di, et al.
Published: (2023)
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
On the Limits of Model Merging for Multilinguality in Pre-Training
by: Aycock, Seth, et al.
Published: (2026)
by: Aycock, Seth, et al.
Published: (2026)
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
by: Choenni, Rochelle, et al.
Published: (2024)
by: Choenni, Rochelle, et al.
Published: (2024)
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
by: Stap, David, et al.
Published: (2025)
by: Stap, David, et al.
Published: (2025)
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data
by: Wu, Di, et al.
Published: (2024)
by: Wu, Di, et al.
Published: (2024)
How Important is `Perfect' English for Machine Translation Prompts?
by: Schmidtová, Patrícia, et al.
Published: (2025)
by: Schmidtová, Patrícia, et al.
Published: (2025)
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
by: Stap, David, et al.
Published: (2024)
by: Stap, David, et al.
Published: (2024)
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
by: Tan, Shaomu, et al.
Published: (2024)
by: Tan, Shaomu, et al.
Published: (2024)
Do Language Models Reason Across Languages?
by: Meng, Yan, et al.
Published: (2026)
by: Meng, Yan, et al.
Published: (2026)
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
by: Yan, Xinlan, et al.
Published: (2025)
by: Yan, Xinlan, et al.
Published: (2025)
Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning
by: Rajaee, Sara, et al.
Published: (2025)
by: Rajaee, Sara, et al.
Published: (2025)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
"I'd Like to Have an Argument, Please": Argumentative Reasoning in Large Language Models
by: de Wynter, Adrian, et al.
Published: (2023)
by: de Wynter, Adrian, et al.
Published: (2023)
Is Context Helpful for Chat Translation Evaluation?
by: Agrawal, Sweta, et al.
Published: (2024)
by: Agrawal, Sweta, et al.
Published: (2024)
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports
by: Patil, Avinash, et al.
Published: (2025)
by: Patil, Avinash, et al.
Published: (2025)
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
by: Gupta, Ashim, et al.
Published: (2025)
by: Gupta, Ashim, et al.
Published: (2025)
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies
by: Zhang, Qianen, et al.
Published: (2025)
by: Zhang, Qianen, et al.
Published: (2025)
Redefining Machine Simultaneous Interpretation: From Incremental Translation to Human-Like Strategies
by: Zhang, Qianen, et al.
Published: (2026)
by: Zhang, Qianen, et al.
Published: (2026)
Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis
by: Chen, Andong, et al.
Published: (2025)
by: Chen, Andong, et al.
Published: (2025)
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
by: Lu, Qingyu, et al.
Published: (2023)
by: Lu, Qingyu, et al.
Published: (2023)
Simple and Effective Input Reformulations for Translation
by: Yu, Brian, et al.
Published: (2023)
by: Yu, Brian, et al.
Published: (2023)
When Contextual Inference Fails: Cancelability in Interactive Instruction Following
by: Bila, Natalia, et al.
Published: (2026)
by: Bila, Natalia, et al.
Published: (2026)
Communicating with Speakers and Listeners of Different Pragmatic Levels
by: Naszadi, Kata, et al.
Published: (2024)
by: Naszadi, Kata, et al.
Published: (2024)
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations
by: Zhou, Fan
Published: (2024)
by: Zhou, Fan
Published: (2024)
Does Context Help Mitigate Gender Bias in Neural Machine Translation?
by: Gete, Harritxu, et al.
Published: (2024)
by: Gete, Harritxu, et al.
Published: (2024)
Lost at the Beginning of Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
by: Wu, Minghao, et al.
Published: (2024)
by: Wu, Minghao, et al.
Published: (2024)
To Diverge or Not to Diverge: A Morphosyntactic Perspective on Machine Translation vs Human Translation
by: Luo, Jiaming, et al.
Published: (2024)
by: Luo, Jiaming, et al.
Published: (2024)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation
by: Marmonier, Malik, et al.
Published: (2026)
by: Marmonier, Malik, et al.
Published: (2026)
Similar Items
-
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
by: Aycock, Seth, et al.
Published: (2024) -
Calibrating Translation Decoding with Quality Estimation on LLMs
by: Wu, Di, et al.
Published: (2025) -
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
by: Wu, Di, et al.
Published: (2023) -
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025) -
On the Limits of Model Merging for Multilinguality in Pre-Training
by: Aycock, Seth, et al.
Published: (2026)