Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Dingyao, An, Yang, Ye, Wei, Xiao, Xiongfeng, Mao, Shaoguang, Ge, Tao, Zhang, Shikun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
by: Liang, Junhong, et al.
Published: (2025)
by: Liang, Junhong, et al.
Published: (2025)
Chinese Spelling Correction as Rephrasing Language Model
by: Liu, Linfeng, et al.
Published: (2023)
by: Liu, Linfeng, et al.
Published: (2023)
Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective
by: Mou, Yutao, et al.
Published: (2025)
by: Mou, Yutao, et al.
Published: (2025)
Unveiling the Impact of Multimodal Features on Chinese Spelling Correction: From Analysis to Design
by: Zhang, Xiaowu, et al.
Published: (2025)
by: Zhang, Xiaowu, et al.
Published: (2025)
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning
by: Zhang, Yadong, et al.
Published: (2024)
by: Zhang, Yadong, et al.
Published: (2024)
Research on Domain-Specific Chinese Spelling Correction Method Based on Plugin Extension Modules
by: Zhang, Xiaowu, et al.
Published: (2024)
by: Zhang, Xiaowu, et al.
Published: (2024)
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
by: Liu, Changchun, et al.
Published: (2025)
by: Liu, Changchun, et al.
Published: (2025)
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example
by: Xia, Wei, et al.
Published: (2024)
by: Xia, Wei, et al.
Published: (2024)
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
by: Wang, Zhenhailong, et al.
Published: (2023)
by: Wang, Zhenhailong, et al.
Published: (2023)
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework
by: Xing, Peng, et al.
Published: (2024)
by: Xing, Peng, et al.
Published: (2024)
Mixture of Small and Large Models for Chinese Spelling Check
by: Qiao, Ziheng, et al.
Published: (2025)
by: Qiao, Ziheng, et al.
Published: (2025)
K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning
by: Zhang, Yadong, et al.
Published: (2024)
by: Zhang, Yadong, et al.
Published: (2024)
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models
by: Zhou, Houquan, et al.
Published: (2024)
by: Zhou, Houquan, et al.
Published: (2024)
A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction
by: Zeng, Xiangke, et al.
Published: (2024)
by: Zeng, Xiangke, et al.
Published: (2024)
EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction
by: Sheng, Lei, et al.
Published: (2024)
by: Sheng, Lei, et al.
Published: (2024)
Error-Robust Retrieval for Chinese Spelling Check
by: Yin, Xunjian, et al.
Published: (2022)
by: Yin, Xunjian, et al.
Published: (2022)
AraSpell: A Deep Learning Approach for Arabic Spelling Correction
by: Salhab, Mahmoud, et al.
Published: (2024)
by: Salhab, Mahmoud, et al.
Published: (2024)
AxBERT: An Interpretable Chinese Spelling Correction Method Driven by Associative Knowledge Network
by: Wang, Fanyu, et al.
Published: (2025)
by: Wang, Fanyu, et al.
Published: (2025)
Contextual Spelling Correction with Language Model for Low-resource Setting
by: Luitel, Nishant, et al.
Published: (2024)
by: Luitel, Nishant, et al.
Published: (2024)
TiSpell: A Semi-Masked Methodology for Tibetan Spelling Correction covering Multi-Level Error with Data Augmentation
by: Liu, Yutong, et al.
Published: (2025)
by: Liu, Yutong, et al.
Published: (2025)
ChineseErrorCorrector3-4B: State-of-the-Art Chinese Spelling and Grammar Corrector
by: Tian, Wei, et al.
Published: (2025)
by: Tian, Wei, et al.
Published: (2025)
Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking
by: Dong, Ming, et al.
Published: (2024)
by: Dong, Ming, et al.
Published: (2024)
A Survey on Importance of Homophones Spelling Correction Model for Khmer Authors
by: Born, Seanghort, et al.
Published: (2024)
by: Born, Seanghort, et al.
Published: (2024)
LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models
by: Zhang, Yadong, et al.
Published: (2024)
by: Zhang, Yadong, et al.
Published: (2024)
SteerRM: Debiasing Reward Models via Sparse Autoencoders
by: Sun, Mengyuan, et al.
Published: (2026)
by: Sun, Mengyuan, et al.
Published: (2026)
A Combination of BERT and Transformer for Vietnamese Spelling Correction
by: Trung, Hieu Ngo, et al.
Published: (2024)
by: Trung, Hieu Ngo, et al.
Published: (2024)
Context-aware Stand-alone Neural Spelling Correction
by: Li, Xiangci, et al.
Published: (2020)
by: Li, Xiangci, et al.
Published: (2020)
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
by: Mou, Yutao, et al.
Published: (2024)
by: Mou, Yutao, et al.
Published: (2024)
C-LLM: Learn to Check Chinese Spelling Errors Character by Character
by: Li, Kunting, et al.
Published: (2024)
by: Li, Kunting, et al.
Published: (2024)
Trigger$^3$: Refining Query Correction via Adaptive Model Selector
by: Zhang, Kepu, et al.
Published: (2024)
by: Zhang, Kepu, et al.
Published: (2024)
FastSpell: the LangId Magic Spell
by: Bañón, Marta, et al.
Published: (2024)
by: Bañón, Marta, et al.
Published: (2024)
DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check
by: Qiao, Ziheng, et al.
Published: (2024)
by: Qiao, Ziheng, et al.
Published: (2024)
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
by: Hu, Yong, et al.
Published: (2022)
by: Hu, Yong, et al.
Published: (2022)
Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Check
by: Wu, Haiming, et al.
Published: (2024)
by: Wu, Haiming, et al.
Published: (2024)
Retrieval Augmented Spelling Correction for E-Commerce Applications
by: Guo, Xuan, et al.
Published: (2024)
by: Guo, Xuan, et al.
Published: (2024)
Data Selection for Multi-turn Dialogue Instruction Tuning
by: Li, Bo, et al.
Published: (2026)
by: Li, Bo, et al.
Published: (2026)
From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
by: Ji, Yatai, et al.
Published: (2025)
by: Ji, Yatai, et al.
Published: (2025)
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
by: Wu, Wenshan, et al.
Published: (2024)
by: Wu, Wenshan, et al.
Published: (2024)
Vision Language Models Are Not (Yet) Spelling Correctors
by: Liang, Junhong, et al.
Published: (2025)
by: Liang, Junhong, et al.
Published: (2025)
Similar Items
-
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
by: Liang, Junhong, et al.
Published: (2025) -
Chinese Spelling Correction as Rephrasing Language Model
by: Liu, Linfeng, et al.
Published: (2023) -
Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective
by: Mou, Yutao, et al.
Published: (2025) -
Unveiling the Impact of Multimodal Features on Chinese Spelling Correction: From Analysis to Design
by: Zhang, Xiaowu, et al.
Published: (2025) -
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning
by: Zhang, Yadong, et al.
Published: (2024)