FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking
Fuente:
arXiv
Saved in:
| Main Authors: | Eldifrawi, Islam, Wang, Shengrui, Trabelsi, Amine |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
by: Eldifrawi, Islam, et al.
Published: (2024)
by: Eldifrawi, Islam, et al.
Published: (2024)
CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction
by: Eldifrawi, Islam, et al.
Published: (2026)
by: Eldifrawi, Islam, et al.
Published: (2026)
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
by: Rangapur, Aman, et al.
Published: (2023)
by: Rangapur, Aman, et al.
Published: (2023)
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
by: Araya, Daniel Berhane, et al.
Published: (2025)
by: Araya, Daniel Berhane, et al.
Published: (2025)
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
by: Iqbal, Hasan, et al.
Published: (2024)
by: Iqbal, Hasan, et al.
Published: (2024)
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
by: Warren, Greta, et al.
Published: (2025)
by: Warren, Greta, et al.
Published: (2025)
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
by: Yang, Shuo, et al.
Published: (2025)
by: Yang, Shuo, et al.
Published: (2025)
Evaluating Evidence Attribution in Generated Fact Checking Explanations
by: Xing, Rui, et al.
Published: (2024)
by: Xing, Rui, et al.
Published: (2024)
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
by: Rahman, Subhey Sadi, et al.
Published: (2025)
by: Rahman, Subhey Sadi, et al.
Published: (2025)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
by: Bai, Yuzhuo, et al.
Published: (2026)
by: Bai, Yuzhuo, et al.
Published: (2026)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024)
by: Tang, Liyan, et al.
Published: (2024)
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
ClaimCheck: Real-Time Fact-Checking with Small Language Models
by: Putta, Akshith Reddy, et al.
Published: (2025)
by: Putta, Akshith Reddy, et al.
Published: (2025)
How LLMs Fail to Support Fact-Checking
by: Proma, Adiba Mahbub, et al.
Published: (2025)
by: Proma, Adiba Mahbub, et al.
Published: (2025)
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking
by: Hu, Qisheng, et al.
Published: (2025)
by: Hu, Qisheng, et al.
Published: (2025)
Enhancing Health Fact-Checking with LLM-Generated Synthetic Data
by: Zhang, Jingze, et al.
Published: (2025)
by: Zhang, Jingze, et al.
Published: (2025)
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
by: Gong, Haisong, et al.
Published: (2024)
by: Gong, Haisong, et al.
Published: (2024)
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
by: Ma, Huanhuan, et al.
Published: (2023)
by: Ma, Huanhuan, et al.
Published: (2023)
Are Stereotypes Leading LLMs' Zero-Shot Stance Detection ?
by: Dubreuil, Anthony, et al.
Published: (2025)
by: Dubreuil, Anthony, et al.
Published: (2025)
COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations
by: Xing, Rui, et al.
Published: (2025)
by: Xing, Rui, et al.
Published: (2025)
Can LLMs Automate Fact-Checking Article Writing?
by: Sahnan, Dhruv, et al.
Published: (2025)
by: Sahnan, Dhruv, et al.
Published: (2025)
Uncertainty-Aware Web-Conditioned Scientific Fact-Checking
by: Vinod, Ashwin, et al.
Published: (2026)
by: Vinod, Ashwin, et al.
Published: (2026)
Multimodal Claim Extraction for Fact-Checking
by: Teo, Joycelyn, et al.
Published: (2026)
by: Teo, Joycelyn, et al.
Published: (2026)
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
by: Xu, Kunpeng, et al.
Published: (2023)
by: Xu, Kunpeng, et al.
Published: (2023)
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
by: He, Jiayi, et al.
Published: (2025)
by: He, Jiayi, et al.
Published: (2025)
Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
by: Wang, Haoran, et al.
Published: (2026)
by: Wang, Haoran, et al.
Published: (2026)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)
by: Sawczyn, Albert, et al.
Published: (2025)
Combining Evidence and Reasoning for Biomedical Fact-Checking
by: Barone, Mariano, et al.
Published: (2025)
by: Barone, Mariano, et al.
Published: (2025)
Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
by: Akhtar, Mubashara, et al.
Published: (2024)
by: Akhtar, Mubashara, et al.
Published: (2024)
Trification: A Comprehensive Tree-based Strategy Planner and Structural Verification for Fact-Checking
by: Barik, Anab Maulana, et al.
Published: (2025)
by: Barik, Anab Maulana, et al.
Published: (2025)
Towards Robust Fact-Checking: A Multi-Agent System with Advanced Evidence Retrieval
by: Trinh, Tam, et al.
Published: (2025)
by: Trinh, Tam, et al.
Published: (2025)
LiveFC: A System for Live Fact-Checking of Audio Streams
by: V, Venktesh, et al.
Published: (2024)
by: V, Venktesh, et al.
Published: (2024)
FISCAL: Financial Synthetic Claim-document Augmented Learning for Efficient Fact-Checking
by: Sharma, Rishab, et al.
Published: (2025)
by: Sharma, Rishab, et al.
Published: (2025)
Beyond Retrieval: Improving Evidence Quality for LLM-based Multimodal Fact-Checking
by: Ou, Haoran, et al.
Published: (2025)
by: Ou, Haoran, et al.
Published: (2025)
CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
by: Zhang, Delvin Ce, et al.
Published: (2025)
by: Zhang, Delvin Ce, et al.
Published: (2025)
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
by: Sundriyal, Megha, et al.
Published: (2023)
by: Sundriyal, Megha, et al.
Published: (2023)
Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
by: Vazhentsev, Artem, et al.
Published: (2026)
by: Vazhentsev, Artem, et al.
Published: (2026)
RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
by: Xu, Danni, et al.
Published: (2026)
by: Xu, Danni, et al.
Published: (2026)
Similar Items
-
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
by: Eldifrawi, Islam, et al.
Published: (2024) -
CAAFC: Chronological Actionable Automated Fact-Checker for misinformation / non-factual hallucination detection and correction
by: Eldifrawi, Islam, et al.
Published: (2026) -
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
by: Rangapur, Aman, et al.
Published: (2023) -
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
by: Araya, Daniel Berhane, et al.
Published: (2025) -
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
by: Iqbal, Hasan, et al.
Published: (2024)