Cover Image

Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Linghao, An, Li, Ma, Xuezhe
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models
by: Han, Xu, et al.
Published: (2024)

Building Large-Scale English-Romanian Literary Translation Resources with Open Models
by: Nadas, Mihai, et al.
Published: (2025)

Core Context Aware Transformers for Long Context Language Modeling
by: Chen, Yaofo, et al.
Published: (2024)

Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)
by: Rahman, Abrar, et al.
Published: (2024)

A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models
by: Yuan, Mingruo, et al.
Published: (2025)

Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
by: Ma, Xuezhe, et al.
Published: (2024)

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
by: Fu, Yao, et al.
Published: (2024)

Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths
by: Ma, Xuezhe, et al.
Published: (2026)

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

Towards Lifelong Learning of Large Language Models: A Survey
by: Zheng, Junhao, et al.
Published: (2024)

Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
by: Gupta, Rishaank
Published: (2026)

Sequence Shortening for Context-Aware Machine Translation
by: Mąka, Paweł, et al.
Published: (2024)

Large Language Models Lack Temporal Awareness of Medical Knowledge
by: Guan, Zihan, et al.
Published: (2026)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
by: Hua, Wenyue, et al.
Published: (2024)

Out-of-Context Reasoning in Large Language Models
by: Shaki, Jonathan, et al.
Published: (2025)

Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026)

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing
by: Qian, Zhenyu, et al.
Published: (2024)

Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)

How Multilingual Are Large Language Models Fine-Tuned for Translation?
by: Richburg, Aquia, et al.
Published: (2024)

Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024)

Long Context RAG Performance of Large Language Models
by: Leng, Quinn, et al.
Published: (2024)

Fine-tuning Large Language Models for Domain-specific Machine Translation
by: Zheng, Jiawei, et al.
Published: (2024)

Hijacking Large Language Models via Adversarial In-Context Learning
by: Zhou, Xiangyu, et al.
Published: (2023)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
by: Liu, Haochen, et al.
Published: (2025)

Large Language Models are Miscalibrated In-Context Learners
by: Li, Chengzu, et al.
Published: (2023)

Improving Context-Aware Preference Modeling for Language Models
by: Pitis, Silviu, et al.
Published: (2024)

Towards Privacy-Aware Sign Language Translation at Scale
by: Rust, Phillip, et al.
Published: (2024)

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use
by: Chen, Yuhan, et al.
Published: (2023)

ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models
by: Li, Chen, et al.
Published: (2026)

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
by: Dong, Zican, et al.
Published: (2025)

LongAlign: A Recipe for Long Context Alignment of Large Language Models
by: Bai, Yushi, et al.
Published: (2024)

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
by: Ranaldi, Federico, et al.
Published: (2024)

Reference-less Analysis of Context Specificity in Translation with Personalised Language Models
by: Vincent, Sebastian, et al.
Published: (2023)

DecoPrompt : Decoding Prompts Reduces Hallucinations when Large Language Models Meet False Premises
by: Xu, Nan, et al.
Published: (2024)

EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
by: Zhao, Songlin, et al.
Published: (2025)

A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models
by: Hayat, Ahatsham, et al.
Published: (2024)

In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)

Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection
by: Liu, Junhao, et al.
Published: (2026)

pQuant: Towards Effective Low-Bit Language Models via Decoupled Linear Quantization-Aware Training
by: Zhang, Wenzheng, et al.
Published: (2026)