Cover Image

On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Weichuan, Liu, Mingyang, Song, Linqi, Ma, Chen
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing
by: Wang, Weichuan, et al.
Published: (2024)

DiffETM: Diffusion Process Enhanced Embedded Topic Model
by: Shao, Wei, et al.
Published: (2025)

Deterministic Reversible Data Augmentation for Neural Machine Translation
by: Yao, Jiashu, et al.
Published: (2024)

Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
by: Shao, Wei, et al.
Published: (2026)

Enhancing Low-Rank Adaptation with Structured Nonlinear Transformations
by: Deng, Guanzhi, et al.
Published: (2025)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
by: Yang, Wenjie, et al.
Published: (2025)

Enhancing Human Evaluation in Machine Translation with Comparative Judgment
by: Song, Yixiao, et al.
Published: (2025)

Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation
by: Tian, Yanzhi, et al.
Published: (2026)

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
by: He, Jie, et al.
Published: (2025)

Evaluating the Impact of Verbal Multiword Expressions on Machine Translation
by: Liu, Linfeng, et al.
Published: (2025)

Improving Non-autoregressive Machine Translation with Error Exposure and Consistency Regularization
by: Chen, Xinran, et al.
Published: (2024)

HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains
by: Li, Zheng, et al.
Published: (2026)

TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment
by: Li, Zheng, et al.
Published: (2025)

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation
by: Luo, Sichun, et al.
Published: (2025)

Activation-Guided Consensus Merging for Large Language Models
by: Yao, Yuxuan, et al.
Published: (2025)

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
by: Liu, Shuqi, et al.
Published: (2024)

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

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation
by: Wang, Hao, et al.
Published: (2024)

Beyond One-Size-Fits-All Pruning via Evolutionary Metric Search for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets
by: Moghe, Nikita, et al.
Published: (2024)

GRP: Goal-Reversed Prompting for Zero-Shot Evaluation with LLMs
by: Song, Mingyang, et al.
Published: (2025)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
by: Yao, Yuxuan, et al.
Published: (2024)

Uncertainty Quantification for Evaluating Machine Translation Bias
by: Staliūnaitė, Ieva Raminta, et al.
Published: (2025)

Evaluating Structural Generalization in Neural Machine Translation
by: Kumon, Ryoma, et al.
Published: (2024)

AI-Assisted Human Evaluation of Machine Translation
by: Zouhar, Vilém, et al.
Published: (2024)

On the Hallucination in Simultaneous Machine Translation
by: Zhong, Meizhi, et al.
Published: (2024)

Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation
by: Wang, Xiaoman, et al.
Published: (2024)

Beyond the Illusion of Consensus: From Surface Heuristics to Knowledge-Grounded Evaluation in LLM-as-a-Judge
by: Song, Mingyang, et al.
Published: (2026)

Extending Automatic Machine Translation Evaluation to Book-Length Documents
by: Wang, Kuang-Da, et al.
Published: (2025)

How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation
by: Ye, Yongshi, et al.
Published: (2025)

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation
by: Huang, Chenyang, et al.
Published: (2025)

Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
by: Song, Mingyang, et al.
Published: (2024)

Comparative Evaluation of Machine Translation Systems on Images with Text
by: Puchol, Blai, et al.
Published: (2026)

Specification-Aware Machine Translation and Evaluation for Purpose Alignment
by: Kayano, Yoko, et al.
Published: (2025)

Evaluating Automatic Metrics with Incremental Machine Translation Systems
by: Wu, Guojun, et al.
Published: (2024)

Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean
by: Park, Dojun, et al.
Published: (2024)

MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
by: Wang, Shun, et al.
Published: (2024)

When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation
by: Tan, David, et al.
Published: (2026)

Non-Linear Scoring Model for Translation Quality Evaluation
by: Gladkoff, Serge, et al.
Published: (2025)