CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhang, Delvin Ce, Lee, Dongwon |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
por: Chun, Chaewan, et al.
Publicado: (2026)
por: Chun, Chaewan, et al.
Publicado: (2026)
Echoes of Automation: The Increasing Use of LLMs in Newsmaking
por: Ansari, Abolfazl, et al.
Publicado: (2025)
por: Ansari, Abolfazl, et al.
Publicado: (2025)
M2-Verify: A Large-Scale Multidomain Benchmark for Checking Multimodal Claim Consistency
por: Ansari, Abolfazl, et al.
Publicado: (2026)
por: Ansari, Abolfazl, 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)
Combining Evidence and Reasoning for Biomedical Fact-Checking
por: Barone, Mariano, et al.
Publicado: (2025)
por: Barone, Mariano, et al.
Publicado: (2025)
DIAGPaper: Diagnosing Valid and Specific Weaknesses in Scientific Papers via Multi-Agent Reasoning
por: Zou, Zhuoyang, et al.
Publicado: (2026)
por: Zou, Zhuoyang, et al.
Publicado: (2026)
Application and Optimization of Large Models Based on Prompt Tuning for Fact-Check-Worthiness Estimation
por: Yu, Yinglong, et al.
Publicado: (2025)
por: Yu, Yinglong, et al.
Publicado: (2025)
SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
por: Jiang, Dongwei, et al.
Publicado: (2024)
por: Jiang, Dongwei, et al.
Publicado: (2024)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
por: Tang, Liyan, et al.
Publicado: (2024)
por: Tang, Liyan, et al.
Publicado: (2024)
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
por: Hang, Ching Nam, et al.
Publicado: (2025)
por: Hang, Ching Nam, 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)
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)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
por: Bai, Yuzhuo, et al.
Publicado: (2026)
por: Bai, Yuzhuo, et al.
Publicado: (2026)
How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
por: Wu, Xiaobao, et al.
Publicado: (2024)
por: Wu, Xiaobao, et al.
Publicado: (2024)
A Reality Check on Context Utilisation for Retrieval-Augmented Generation
por: Hagström, Lovisa, et al.
Publicado: (2024)
por: Hagström, Lovisa, 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)
MAD: A Benchmark for Multi-Turn Audio Dialogue Fact-Checking
por: Chun, Chaewan, et al.
Publicado: (2025)
por: Chun, Chaewan, 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)
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)
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)
Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
por: Huang, Jingyi, et al.
Publicado: (2025)
por: Huang, Jingyi, 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)
Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
por: Vazhentsev, Artem, et al.
Publicado: (2026)
por: Vazhentsev, Artem, et al.
Publicado: (2026)
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)
Code Execution as Grounded Supervision for LLM Reasoning
por: Jung, Dongwon, et al.
Publicado: (2025)
por: Jung, Dongwon, et al.
Publicado: (2025)
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)
MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval
por: Zhang, Delvin Ce, et al.
Publicado: (2026)
por: Zhang, Delvin Ce, et al.
Publicado: (2026)
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)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
por: Sawczyn, Albert, et al.
Publicado: (2025)
por: Sawczyn, Albert, et al.
Publicado: (2025)
Multimodal Claim Extraction for Fact-Checking
por: Teo, Joycelyn, et al.
Publicado: (2026)
por: Teo, Joycelyn, et al.
Publicado: (2026)
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models
por: Khaliq, M. Abdul, et al.
Publicado: (2024)
por: Khaliq, M. Abdul, et al.
Publicado: (2024)
Ejemplares similares
-
When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
por: Chun, Chaewan, et al.
Publicado: (2026) -
Echoes of Automation: The Increasing Use of LLMs in Newsmaking
por: Ansari, Abolfazl, et al.
Publicado: (2025) -
M2-Verify: A Large-Scale Multidomain Benchmark for Checking Multimodal Claim Consistency
por: Ansari, Abolfazl, et al.
Publicado: (2026) -
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
por: Gong, Haisong, et al.
Publicado: (2024) -
Combining Evidence and Reasoning for Biomedical Fact-Checking
por: Barone, Mariano, et al.
Publicado: (2025)