Copertina

Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Changchun, Zhang, Kai, Jiang, Junzhe, Kong, Zixiao, Liu, Qi, Chen, Enhong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AraSpell: A Deep Learning Approach for Arabic Spelling Correction
di: Salhab, Mahmoud, et al.
Pubblicazione: (2024)

EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
di: Sheng, Lei, et al.
Pubblicazione: (2024)

DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check
di: Qiao, Ziheng, et al.
Pubblicazione: (2024)

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
di: Chen, Jin, et al.
Pubblicazione: (2023)

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
di: Liu, Xukai, et al.
Pubblicazione: (2024)

Retrieval Augmented Spelling Correction for E-Commerce Applications
di: Guo, Xuan, et al.
Pubblicazione: (2024)

ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Corrector
di: Tian, Wei, et al.
Pubblicazione: (2025)

Datasets for Large Language Models: A Comprehensive Survey
di: Liu, Yang, et al.
Pubblicazione: (2024)

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
di: Hu, Yong, et al.
Pubblicazione: (2022)

An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
di: Wang, Xi, et al.
Pubblicazione: (2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
di: Liu, Ye, et al.
Pubblicazione: (2024)

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation
di: Zhang, Xu, et al.
Pubblicazione: (2025)

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
di: Zhou, Hongjian, et al.
Pubblicazione: (2023)

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
di: Li, Dawei, et al.
Pubblicazione: (2024)

Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
di: Ransing, Rasika, et al.
Pubblicazione: (2024)

A Survey on Knowledge-Oriented Retrieval-Augmented Generation
di: Cheng, Mingyue, et al.
Pubblicazione: (2025)

PERCORE: A Deep Learning-Based Framework for Persian Spelling Correction with Phonetic Analysis
di: Dashti, Seyed Mohammad Sadegh, et al.
Pubblicazione: (2024)

CMB: A Comprehensive Medical Benchmark in Chinese
di: Wang, Xidong, et al.
Pubblicazione: (2023)

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
di: Ju, Li, et al.
Pubblicazione: (2026)

A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future
di: Zhong, Jialun, et al.
Pubblicazione: (2025)

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research
di: Zhong, Tianyang, et al.
Pubblicazione: (2024)

Evaluation of Retrieval-Augmented Generation: A Survey
di: Yu, Hao, et al.
Pubblicazione: (2024)

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
di: Liu, Ye, et al.
Pubblicazione: (2024)

Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
di: Samuel, Vinay, et al.
Pubblicazione: (2023)

SpellForger: Prompting Custom Spell Properties In-Game using BERT supervised-trained model
di: Silva, Emanuel C., et al.
Pubblicazione: (2025)

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
di: Qi, Liu, et al.
Pubblicazione: (2024)

JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models
di: Liu, Shuyi, et al.
Pubblicazione: (2025)

Empowering LLMs with Logical Reasoning: A Comprehensive Survey
di: Cheng, Fengxiang, et al.
Pubblicazione: (2025)

What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code
di: Zhao, Yuze, et al.
Pubblicazione: (2026)

A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications
di: Lin, Minhua, et al.
Pubblicazione: (2025)

Large Language Models for Planning: A Comprehensive and Systematic Survey
di: Cao, Pengfei, et al.
Pubblicazione: (2025)

Large Language Model based Multi-Agents: A Survey of Progress and Challenges
di: Guo, Taicheng, et al.
Pubblicazione: (2024)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
di: Yang, Chang, et al.
Pubblicazione: (2025)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
di: Niu, Qian, et al.
Pubblicazione: (2024)

CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language Models
di: Zhang, Wenjing, et al.
Pubblicazione: (2024)

Towards Comprehensive Detection of Chinese Harmful Memes
di: Lu, Junyu, et al.
Pubblicazione: (2024)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey
di: Garg, Muskan, et al.
Pubblicazione: (2025)

DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
di: Lin, Runfeng, et al.
Pubblicazione: (2024)

Chinese Spelling Correction as Rephrasing Language Model
di: Liu, Linfeng, et al.
Pubblicazione: (2023)

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
di: Li, Jindong, et al.
Pubblicazione: (2025)