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Fact-Checking

931 papers

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Papers

Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies ACL 2026 The Automatic Verification of Image-Text Claims (AVerImaTeC) Shared Task EACL 2026 The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contexts CVPR 2026 The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026 TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking ACL 2026 TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question Answering EACL 2026 User-Centric Evidence Ranking for Attribution and Fact Verification EACL 2026 VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking ACL 2026 VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media AAAI 2026 VILLAIN at AVerImaTeC: Verifying Image–Text Claims via Multi-Agent Collaboration EACL 2026 VMD-FACT: A New Video Dataset and MLLM-based method for Detecting Realistic AI-Generated Video Misinformation CVPR 2026 What’s Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews ACL 2026 When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation EACL 2026 When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms ACL 2026 1-800-SHARED-TASKS at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains COLING 2025 𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 Advacheck at SemEval-2025 Task 3: Combining NER and RAG to Spot Hallucinations in LLM Answers SemEval 2025 Adversarial Attacks Against Automated Fact-Checking: A Survey EMNLP 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025 A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection IJCAI 2025 “AGI” team at SHROOM-CAP: Data-Centric Approach to Multilingual Hallucination Detection using XLM-RoBERTa AACL 2025 AIC CTU@FEVER 8: On-premise fact checking through long context RAG ACL 2025 AILS-NTUA at SemEval-2025 Task 3: Leveraging Large Language Models and Translation Strategies for Multilingual Hallucination Detection SemEval 2025 Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation ICLR 2025 Aletheia: Detect, Discuss, and Stay Informed on Fake News IJCAI 2025