Enhancing Health Fact-Checking with LLM-Generated Synthetic Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Jingze, Qian, Jiahe, Zhou, Yiliang, Peng, Yifan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
por: Chung, Yi-Ling, et al.
Publicado: (2025)
por: Chung, Yi-Ling, et al.
Publicado: (2025)
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
por: Wei, Yishu, et al.
Publicado: (2024)
por: Wei, Yishu, et al.
Publicado: (2024)
FISCAL: Financial Synthetic Claim-document Augmented Learning for Efficient Fact-Checking
por: Sharma, Rishab, et al.
Publicado: (2025)
por: Sharma, Rishab, et al.
Publicado: (2025)
Beyond Retrieval: Improving Evidence Quality for LLM-based Multimodal Fact-Checking
por: Ou, Haoran, et al.
Publicado: (2025)
por: Ou, Haoran, et al.
Publicado: (2025)
Towards end-to-end LLM-based censoring-aware survival analysis
por: Wei, Yishu, et al.
Publicado: (2026)
por: Wei, Yishu, et al.
Publicado: (2026)
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking
por: Vladika, Juraj, et al.
Publicado: (2023)
por: Vladika, Juraj, 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)
Evaluating Evidence Attribution in Generated Fact Checking Explanations
por: Xing, Rui, et al.
Publicado: (2024)
por: Xing, Rui, et al.
Publicado: (2024)
LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
por: Leite, João A., et al.
Publicado: (2026)
por: Leite, João A., 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)
The Impact and Opportunities of Generative AI in Fact-Checking
por: Wolfe, Robert, et al.
Publicado: (2024)
por: Wolfe, Robert, et al.
Publicado: (2024)
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking
por: Costabile, Luigia, et al.
Publicado: (2025)
por: Costabile, Luigia, et al.
Publicado: (2025)
Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
por: Gupta, Raavi, et al.
Publicado: (2025)
por: Gupta, Raavi, et al.
Publicado: (2025)
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)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
por: Bai, Yuzhuo, et al.
Publicado: (2026)
por: Bai, Yuzhuo, et al.
Publicado: (2026)
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)
DECEIVE-AFC: Adversarial Claim Attacks against Search-Enabled LLM-based Fact-Checking Systems
por: Ou, Haoran, et al.
Publicado: (2026)
por: Ou, Haoran, et al.
Publicado: (2026)
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)
Diagnosing LLM Arbitration Behavior over Pre-evidence Epistemic States in RAG-based Fact-Checking
por: Sun, Yuxi, et al.
Publicado: (2026)
por: Sun, Yuxi, et al.
Publicado: (2026)
Enhancing Table Representations with LLM-powered Synthetic Data Generation
por: Yang, Dayu, et al.
Publicado: (2024)
por: Yang, Dayu, et al.
Publicado: (2024)
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)
How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
Fact-Checking of AI-Generated Reports
por: Mahmood, Razi, et al.
Publicado: (2023)
por: Mahmood, Razi, et al.
Publicado: (2023)
ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking
por: Wu, Yutao, et al.
Publicado: (2025)
por: Wu, Yutao, et al.
Publicado: (2025)
FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction
por: Zhang, Qian-Wen, et al.
Publicado: (2025)
por: Zhang, Qian-Wen, et al.
Publicado: (2025)
Can LLMs Automate Fact-Checking Article Writing?
por: Sahnan, Dhruv, et al.
Publicado: (2025)
por: Sahnan, Dhruv, et al.
Publicado: (2025)
Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
por: Vinod, Ashwin, et al.
Publicado: (2026)
por: Vinod, Ashwin, et al.
Publicado: (2026)
Multimodal Claim Extraction for Fact-Checking
por: Teo, Joycelyn, et al.
Publicado: (2026)
por: Teo, Joycelyn, et al.
Publicado: (2026)
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
por: Chung, Philip, et al.
Publicado: (2025)
por: Chung, Philip, et al.
Publicado: (2025)
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models
por: Coelho, Bruno, et al.
Publicado: (2025)
por: Coelho, Bruno, 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)
Combining Evidence and Reasoning for Biomedical Fact-Checking
por: Barone, Mariano, et al.
Publicado: (2025)
por: Barone, Mariano, et al.
Publicado: (2025)
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking
por: Hu, Qisheng, et al.
Publicado: (2025)
por: Hu, Qisheng, et al.
Publicado: (2025)
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)
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
por: Gong, Haisong, et al.
Publicado: (2024)
por: Gong, Haisong, et al.
Publicado: (2024)
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)
RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
por: Xu, Danni, et al.
Publicado: (2026)
por: Xu, Danni, et al.
Publicado: (2026)
CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
por: Guo, Ruiling, et al.
Publicado: (2025)
por: Guo, Ruiling, et al.
Publicado: (2025)
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)
Ejemplares similares
-
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
por: Chung, Yi-Ling, et al.
Publicado: (2025) -
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
por: Wei, Yishu, et al.
Publicado: (2024) -
FISCAL: Financial Synthetic Claim-document Augmented Learning for Efficient Fact-Checking
por: Sharma, Rishab, et al.
Publicado: (2025) -
Beyond Retrieval: Improving Evidence Quality for LLM-based Multimodal Fact-Checking
por: Ou, Haoran, et al.
Publicado: (2025) -
Towards end-to-end LLM-based censoring-aware survival analysis
por: Wei, Yishu, et al.
Publicado: (2026)