Combining Evidence and Reasoning for Biomedical Fact-Checking
Fuente:
arXiv
Saved in:
| Main Authors: | Barone, Mariano, Romano, Antonio, Riccio, Giuseppe, Postiglione, Marco, Moscato, Vincenzo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
by: Barone, Mariano, et al.
Published: (2025)
by: Barone, Mariano, et al.
Published: (2025)
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
by: Barone, Mariano, et al.
Published: (2026)
by: Barone, Mariano, et al.
Published: (2026)
IMB: An Italian Medical Benchmark for Question Answering
by: Romano, Antonio, et al.
Published: (2025)
by: Romano, Antonio, et al.
Published: (2025)
SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties
by: Di Marino, Roberta, et al.
Published: (2025)
by: Di Marino, Roberta, et al.
Published: (2025)
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
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)
Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
by: Hu, Qisheng, et al.
Published: (2024)
by: Hu, Qisheng, et al.
Published: (2024)
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models
by: Coelho, Bruno, et al.
Published: (2025)
by: Coelho, Bruno, et al.
Published: (2025)
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)
Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
by: Huang, Jingyi, et al.
Published: (2025)
by: Huang, Jingyi, et al.
Published: (2025)
IndexRAG: Bridging Facts for Cross-Document Reasoning at Index Time
by: Bao, Zhenghua, et al.
Published: (2026)
by: Bao, Zhenghua, et al.
Published: (2026)
MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering
by: Ning, Yingpeng, et al.
Published: (2025)
by: Ning, Yingpeng, et al.
Published: (2025)
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)
Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
by: Russo, Diego, et al.
Published: (2025)
by: Russo, Diego, et al.
Published: (2025)
From Facts to Conclusions : Integrating Deductive Reasoning in Retrieval-Augmented LLMs
by: Mishra, Shubham, et al.
Published: (2025)
by: Mishra, Shubham, et al.
Published: (2025)
Evidence-Guided Schema Normalization for Temporal Tabular Reasoning
by: Thanga, Ashish, et al.
Published: (2025)
by: Thanga, Ashish, et al.
Published: (2025)
Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge Graphs
by: Kondo, Ryoma, et al.
Published: (2025)
by: Kondo, Ryoma, et al.
Published: (2025)
MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering
by: Islamaj, Rezarta, et al.
Published: (2026)
by: Islamaj, Rezarta, et al.
Published: (2026)
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
by: Abootorabi, Mohammad Mahdi, et al.
Published: (2025)
Checking Fact with Better Retrieval: Dynamic Contrastive Learning for Evidence Retrieval
by: Hua, Zhongtian, et al.
Published: (2026)
by: Hua, Zhongtian, et al.
Published: (2026)
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking
by: Costabile, Luigia, et al.
Published: (2025)
by: Costabile, Luigia, et al.
Published: (2025)
UNH at CheckThat! 2025: Fine-tuning Vs Prompting in Claim Extraction
by: Wilder, Joe, et al.
Published: (2025)
by: Wilder, Joe, et al.
Published: (2025)
Overview of BioASQ 2022: The tenth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
by: Nentidis, Anastasios, et al.
Published: (2022)
by: Nentidis, Anastasios, et al.
Published: (2022)
Semi-automated Fact-checking in Portuguese: Corpora Enrichment using Retrieval with Claim extraction
by: Gomes, Juliana Resplande Sant'anna, et al.
Published: (2025)
by: Gomes, Juliana Resplande Sant'anna, et al.
Published: (2025)
BeLink: Biomedical Entity Linking Meets Generative Re-Ranking
by: Shlyk, Darya, et al.
Published: (2026)
by: Shlyk, Darya, et al.
Published: (2026)
Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
by: Gong, Shuzhi, et al.
Published: (2026)
by: Gong, Shuzhi, et al.
Published: (2026)
Lessons from the TREC Plain Language Adaptation of Biomedical Abstracts (PLABA) track
by: Ondov, Brian, et al.
Published: (2025)
by: Ondov, Brian, et al.
Published: (2025)
Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
by: Nentidis, Anastasios, et al.
Published: (2025)
by: Nentidis, Anastasios, et al.
Published: (2025)
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph
by: Guan, Lingxiao, et al.
Published: (2025)
by: Guan, Lingxiao, et al.
Published: (2025)
VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering
by: Košprdić, Miloš, et al.
Published: (2026)
by: Košprdić, Miloš, et al.
Published: (2026)
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
by: Xie, Yuzhang, et al.
Published: (2024)
by: Xie, Yuzhang, et al.
Published: (2024)
fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
by: Rastogi, Pranshu
Published: (2025)
by: Rastogi, Pranshu
Published: (2025)
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
by: Ge, Ziyu, et al.
Published: (2025)
by: Ge, Ziyu, et al.
Published: (2025)
ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese
by: Hoa, Tran Thai, et al.
Published: (2024)
by: Hoa, Tran Thai, et al.
Published: (2024)
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
by: Košprdić, Miloš, et al.
Published: (2023)
by: Košprdić, Miloš, et al.
Published: (2023)
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
by: Chung, Philip, et al.
Published: (2025)
by: Chung, Philip, et al.
Published: (2025)
Overview of BioASQ 2024: The twelfth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
by: Nentidis, Anastasios, et al.
Published: (2025)
by: Nentidis, Anastasios, et al.
Published: (2025)
Tutorial on Reasoning for IR & IR for Reasoning
by: Hoveyda, Mohanna, et al.
Published: (2026)
by: Hoveyda, Mohanna, et al.
Published: (2026)
FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)
by: Xie, Zhuohan, et al.
Published: (2024)
The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
by: Deng, Xingyu, et al.
Published: (2025)
by: Deng, Xingyu, et al.
Published: (2025)
Similar Items
-
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
by: Barone, Mariano, et al.
Published: (2025) -
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
by: Barone, Mariano, et al.
Published: (2026) -
IMB: An Italian Medical Benchmark for Question Answering
by: Romano, Antonio, et al.
Published: (2025) -
SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties
by: Di Marino, Roberta, et al.
Published: (2025) -
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
by: Barone, Mariano, et al.
Published: (2025)