CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
Fuente:
arXiv
Guardado en:
| Autores principales: | Guo, Ruiling, Yang, Xinwei, Huang, Chen, Zhang, Tong, Hu, Yong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
por: He, Jiayi, et al.
Publicado: (2025)
por: He, Jiayi, et al.
Publicado: (2025)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
por: Bai, Yuzhuo, et al.
Publicado: (2026)
por: Bai, Yuzhuo, et al.
Publicado: (2026)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
por: Tang, Liyan, et al.
Publicado: (2024)
por: Tang, Liyan, et al.
Publicado: (2024)
How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
por: Chen, Mengyang, et al.
Publicado: (2023)
por: Chen, Mengyang, et al.
Publicado: (2023)
Can LLMs Automate Fact-Checking Article Writing?
por: Sahnan, Dhruv, et al.
Publicado: (2025)
por: Sahnan, Dhruv, et al.
Publicado: (2025)
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
por: Yang, Shuo, et al.
Publicado: (2025)
por: Yang, Shuo, et al.
Publicado: (2025)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
por: Sawczyn, Albert, et al.
Publicado: (2025)
por: Sawczyn, Albert, et al.
Publicado: (2025)
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
por: Hu, Yong, et al.
Publicado: (2022)
por: Hu, Yong, et al.
Publicado: (2022)
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking
por: Costabile, Luigia, et al.
Publicado: (2025)
por: Costabile, Luigia, et al.
Publicado: (2025)
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
por: Araya, Daniel Berhane, et al.
Publicado: (2025)
por: Araya, Daniel Berhane, et al.
Publicado: (2025)
oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning
por: Xu, Ruiling, et al.
Publicado: (2025)
por: Xu, Ruiling, et al.
Publicado: (2025)
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
por: Singhal, Ronit, et al.
Publicado: (2024)
por: Singhal, Ronit, et al.
Publicado: (2024)
ClaimCheck: Real-Time Fact-Checking with Small Language Models
por: Putta, Akshith Reddy, et al.
Publicado: (2025)
por: Putta, Akshith Reddy, et al.
Publicado: (2025)
Flames: Benchmarking Value Alignment of LLMs in Chinese
por: Huang, Kexin, et al.
Publicado: (2023)
por: Huang, Kexin, et al.
Publicado: (2023)
Uncovering the Fragility of Trustworthy LLMs through Chinese Textual Ambiguity
por: Wu, Xinwei, et al.
Publicado: (2025)
por: Wu, Xinwei, et al.
Publicado: (2025)
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
por: Zhang, Delvin Ce, et al.
Publicado: (2025)
por: Zhang, Delvin Ce, et al.
Publicado: (2025)
Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
por: Sahitaj, Premtim, et al.
Publicado: (2025)
por: Sahitaj, Premtim, et al.
Publicado: (2025)
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
por: Tran, Hieu, et al.
Publicado: (2024)
por: Tran, Hieu, et al.
Publicado: (2024)
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
por: Vladika, Juraj, et al.
Publicado: (2025)
por: Vladika, Juraj, et al.
Publicado: (2025)
Evaluating Evidence Attribution in Generated Fact Checking Explanations
por: Xing, Rui, et al.
Publicado: (2024)
por: Xing, Rui, et al.
Publicado: (2024)
Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
por: Vinod, Ashwin, et al.
Publicado: (2026)
por: Vinod, Ashwin, et al.
Publicado: (2026)
BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
por: Liu, Yuxuan, et al.
Publicado: (2025)
por: Liu, Yuxuan, et al.
Publicado: (2025)
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
por: Iqbal, Hasan, et al.
Publicado: (2024)
por: Iqbal, Hasan, et al.
Publicado: (2024)
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
por: Chen, Ting-Chih, et al.
Publicado: (2024)
por: Chen, Ting-Chih, et al.
Publicado: (2024)
DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check
por: Qiao, Ziheng, et al.
Publicado: (2024)
por: Qiao, Ziheng, et al.
Publicado: (2024)
COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
por: Xing, Rui, et al.
Publicado: (2025)
por: Xing, Rui, et al.
Publicado: (2025)
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
por: Sundriyal, Megha, et al.
Publicado: (2023)
por: Sundriyal, Megha, et al.
Publicado: (2023)
Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
por: Vazhentsev, Artem, et al.
Publicado: (2026)
por: Vazhentsev, Artem, et al.
Publicado: (2026)
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
por: Gong, Haisong, et al.
Publicado: (2024)
por: Gong, Haisong, et al.
Publicado: (2024)
Misinforming LLMs: vulnerabilities, challenges and opportunities
por: Zhou, Bo, et al.
Publicado: (2024)
por: Zhou, Bo, et al.
Publicado: (2024)
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
por: Warren, Greta, et al.
Publicado: (2025)
por: Warren, Greta, et al.
Publicado: (2025)
CFEVER: A Chinese Fact Extraction and VERification Dataset
por: Lin, Ying-Jia, et al.
Publicado: (2024)
por: Lin, Ying-Jia, et al.
Publicado: (2024)
RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
por: Xu, Danni, et al.
Publicado: (2025)
por: Xu, Danni, et al.
Publicado: (2025)
Ta'keed: The First Generative Fact-Checking System for Arabic Claims
por: Althabiti, Saud, et al.
Publicado: (2024)
por: Althabiti, Saud, et al.
Publicado: (2024)
Multimodal Large Language Models to Support Real-World Fact-Checking
por: Geng, Jiahui, et al.
Publicado: (2024)
por: Geng, Jiahui, et al.
Publicado: (2024)
Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
por: Wang, Haoran, et al.
Publicado: (2026)
por: Wang, Haoran, et al.
Publicado: (2026)
LiveFC: A System for Live Fact-Checking of Audio Streams
por: V, Venktesh, et al.
Publicado: (2024)
por: V, Venktesh, et al.
Publicado: (2024)
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
por: Chen, Xiang, et al.
Publicado: (2023)
por: Chen, Xiang, et al.
Publicado: (2023)
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
por: Hu, Qisheng, et al.
Publicado: (2024)
por: Hu, Qisheng, et al.
Publicado: (2024)
Ejemplares similares
-
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
por: He, Jiayi, et al.
Publicado: (2025) -
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
por: Bai, Yuzhuo, et al.
Publicado: (2026) -
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
por: Tang, Liyan, et al.
Publicado: (2024) -
How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025) -
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
por: Chen, Mengyang, et al.
Publicado: (2023)