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Fact-Checking

976 directly classified papers

Papers per year

Papers

fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval SEMEVAL 2025
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models ACL 2025
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation EMNLP 2025
RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims NAACL 2025
SSA: Semantic Contamination of LLM-Driven Fake News Detection EMNLP 2025
COVE: COntext and VEracity prediction for out-of-context images NAACL 2025
Unsupervised Hallucination Detection by Inspecting Reasoning Processes EMNLP 2025
SAFE: Structured Argumentation for Fact-checking with Explanations IJCAI 2025
AlexUNLP-FMT at ClimateCheck Shared Task: Hybrid Retrieval with Adaptive Similarity Graph-based Reranking for Climate-related Social Media Claims Fact Checking ACL 2025
IndicClaimBuster: A Multilingual Claim Verification Dataset AACL 2025
CMIE: Combining MLLM Insights with External Evidence for Explainable Out-of-Context Misinformation Detection ACL 2025
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches EMNLP 2025
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation NAACL 2025
Dis2Dis: Explaining Ambiguity in Fact-Checking NAACL 2025
Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation ACL 2025
CIC-NLP@DravidianLangTech 2025: Fake News Detection in Dravidian Languages NAACL 2025
Zero-Shot Belief: A Hard Problem for LLMs EMNLP 2025
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models CVPR 2025
REFIND at SemEval-2025 Task 3: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models SEMEVAL 2025
UCSC at SemEval-2025 Task 3: Context, Models and Prompt Optimization for Automated Hallucination Detection in LLM Output ACL 2025
ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos EMNLP 2025
E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification EMNLP 2025
Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection ACL 2025
Not ready for the bench: LLM legal interpretation is unstable and uncalibrated to human judgments EMNLP 2025
Exploring Health Misinformation Detection with Multi-Agent Debate AACL 2025