Fact-Checking
931 papers
Papers per year
5
31
36
43
66
65
89
194
313
89
'20
'25
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