:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhao, Haofei, Liu, Yilun, Tao, Shimin, Meng, Weibin, Chen, Yimeng, Geng, Xiang, Su, Chang, Zhang, Min, Yang, Hao
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2403.14118
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
por: He, Minggui, et al.
Publicado: (2025)

Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
por: Ge, Yuan, et al.
Publicado: (2024)

Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
por: Geng, Xiang, et al.
Publicado: (2025)

LogLM: From Task-based to Instruction-based Automated Log Analysis
por: Liu, Yilun, et al.
Publicado: (2024)

Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
por: Dong, Yichen, et al.
Publicado: (2025)

DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators
por: Lyu, Xinglin, et al.
Publicado: (2024)

Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies
por: Liu, Yilun, et al.
Publicado: (2023)

Improving LLM-based Document-level Machine Translation with Multi-Knowledge Fusion
por: Liu, Bin, et al.
Publicado: (2025)

Unlocking Fine-Grained Translation Quality Estimation in LRMs through Synergistically Evolving Implicit and Explicit Reasoning
por: Dang, Renfei, et al.
Publicado: (2026)

M-DaQ: Retrieving Samples with Multilingual Diversity and Quality for Instruction Fine-Tuning Datasets
por: Zhao, Chunguang, et al.
Publicado: (2025)

CoachLM: Automatic Instruction Revisions Improve the Data Quality in LLM Instruction Tuning
por: Liu, Yilun, et al.
Publicado: (2023)

Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge
por: Ji, Yuhe, et al.
Publicado: (2024)

Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
por: Sharami, Javad Pourmostafa Roshan, et al.
Publicado: (2024)

Cross-Preference Learning for Sentence-Level and Context-Aware Machine Translation
por: Li, Ying, et al.
Publicado: (2026)

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation
por: Li, Kunquan, et al.
Publicado: (2026)

Calibrating Translation Decoding with Quality Estimation on LLMs
por: Wu, Di, et al.
Publicado: (2025)

MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis
por: Liu, Yilun, et al.
Publicado: (2025)

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

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
por: Lee, Bruce W., et al.
Publicado: (2021)

ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction
por: Yu, Yan, et al.
Publicado: (2025)

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

Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation
por: Zaranis, Emmanouil, et al.
Publicado: (2024)

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis
por: Cui, Tianyu, et al.
Publicado: (2024)

C-Mining: Unsupervised Discovery of Seeds for Cultural Data Synthesis via Geometric Misalignment
por: Zeng, Pufan, et al.
Publicado: (2026)

Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation
por: Lan, Zhibin, et al.
Publicado: (2024)

Using Large Language Model for End-to-End Chinese ASR and NER
por: Li, Yuang, et al.
Publicado: (2024)

Textual Similarity as a Key Metric in Machine Translation Quality Estimation
por: Sun, Kun, et al.
Publicado: (2024)

MTQE.en-he: Machine Translation Quality Estimation for English-Hebrew
por: Rosenbaum, Andy, et al.
Publicado: (2026)

QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation
por: Yoo, Gahyun, et al.
Publicado: (2024)

A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges
por: Shen, Huangjun, et al.
Publicado: (2024)

Estimating Machine Translation Difficulty
por: Proietti, Lorenzo, et al.
Publicado: (2025)

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios
por: Gurav, Namrata Patil, et al.
Publicado: (2026)

Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation
por: Sindhujan, Archchana, et al.
Publicado: (2026)

Don't Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation
por: Vernikos, Giorgos, et al.
Publicado: (2024)

Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure
por: Yang, Zheyuan, et al.
Publicado: (2025)

CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs
por: Guttmann, Kamil, et al.
Publicado: (2026)

Loong: A Human-Like Long Document Translation Agent with Observe-and-Act Adaptive Context Selection
por: Wang, Yutong, et al.
Publicado: (2026)

A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting
por: Li, Yuang, et al.
Publicado: (2023)

GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
por: Filandrianos, Giorgos, et al.
Publicado: (2025)

Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?
por: Qian, Shenbin, et al.
Publicado: (2024)