Image de couverture de livre

FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	V, Venktesh, Setty, Vinay
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking
par: Nanekhan, Kevin, et autres
Publié: (2025)

A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition
par: Venktesh, V, et autres
Publié: (2025)

LiveFC: A System for Live Fact-Checking of Audio Streams
par: V, Venktesh, et autres
Publié: (2024)

Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
par: Zeng, Linda, et autres
Publié: (2025)

The Surprising Effectiveness of Rankers Trained on Expanded Queries
par: Anand, Abhijit, et autres
Publié: (2024)

ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese
par: Hoa, Tran Thai, et autres
Publié: (2024)

Checking Fact with Better Retrieval: Dynamic Contrastive Learning for Evidence Retrieval
par: Hua, Zhongtian, et autres
Publié: (2026)

Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking
par: Gong, Shuzhi, et autres
Publié: (2026)

+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking
par: Deng, Xingyu, et autres
Publié: (2025)

Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
par: Ge, Ziyu, et autres
Publié: (2025)

SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
par: Peng, Qiwei, et autres
Publié: (2025)

Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
par: Wu, Haoyu, et autres
Publié: (2025)

Combining Evidence and Reasoning for Biomedical Fact-Checking
par: Barone, Mariano, et autres
Publié: (2025)

The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers
par: Deng, Xingyu, et autres
Publié: (2025)

Reproducing Adaptive Reranking for Reasoning-Intensive IR
par: Rathee, Mandeep, et autres
Publié: (2026)

Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
par: Akhtar, Mubashara, et autres
Publié: (2024)

Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models
par: Coelho, Bruno, et autres
Publié: (2025)

SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
par: Venktesh, V, et autres
Publié: (2025)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
par: Zhang, Hengran, et autres
Publié: (2023)

QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
par: Liu, Youzheng, et autres
Publié: (2025)

VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
par: Rothermel, Mark, et autres
Publié: (2026)

Few-shot Link Prediction on N-ary Facts
par: Wei, Jiyao, et autres
Publié: (2023)

Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
par: Huang, Jingyi, et autres
Publié: (2025)

Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking
par: Singh, Iknoor, et autres
Publié: (2023)

DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs
par: Prabhu, Venktesh V. Deepali, et autres
Publié: (2024)

aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions
par: Altuncu, Enes, et autres
Publié: (2023)

Evidence-Based Temporal Fact Verification
par: Barik, Anab Maulana, et autres
Publié: (2024)

Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets
par: Rathee, Mandeep, et autres
Publié: (2025)

ir_explain: a Python Library of Explainable IR Methods
par: Saha, Sourav, et autres
Publié: (2024)

Decomposition Dilemmas: Does Claim Decomposition Boost or Burden Fact-Checking Performance?
par: Hu, Qisheng, et autres
Publié: (2024)

Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
par: Roitero, Kevin, et autres
Publié: (2025)

QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
par: Setty, Ritvik, et autres
Publié: (2024)

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
par: Chen, Xiang, et autres
Publié: (2023)

FACTors: A New Dataset for Studying the Fact-checking Ecosystem
par: Altuncu, Enes, et autres
Publié: (2025)

Mask-to-Correct$^+$: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction
par: Santra, Payel, et autres
Publié: (2026)

InRanker: Distilled Rankers for Zero-shot Information Retrieval
par: Laitz, Thiago, et autres
Publié: (2024)

FIRE: Fact-checking with Iterative Retrieval and Verification
par: Xie, Zhuohan, et autres
Publié: (2024)

When More Reformulations Hurt: Avoiding Drift using Ranker Feedback
par: Venktesh, V, et autres
Publié: (2026)

FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
par: Araya, Daniel Berhane, et autres
Publié: (2025)

FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
par: Setty, Vinay
Publié: (2024)