Fact-Checking
931 papers
Papers per year
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31
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43
66
65
89
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313
89
'20
'25
Papers
Minimal Evidence Group Identification for Claim Verification
NAACL 2025
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
EMNLP 2025
MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction
EMNLP 2025
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning
AAAI 2025
MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
SemEval 2025
Multi-Agent Cross-Lingual Veracity Assessment for Explainable Fake News Detection
IJCNLP 2025
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters
EMNLP 2025
MultiHoax: A Dataset of Multi-hop False-premise questions
ACL 2025
Multilingual Symptom Detection on Social Media: Enhancing Health-related Fact-checking with LLMs
ACL 2025
Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches
EMNLP 2025
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
SemEval 2025
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies
COLING 2025
Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
IJCAI 2025
MultiReflect: Multimodal Self-Reflective RAG-based Automated Fact-Checking
ACL 2025
MuSciClaims: Multimodal Scientific Claim Verification
IJCNLP 2025
Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review
ACL 2025
NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts
SemEval 2025
NLP_CIMAT at SemEval-2025 Task 3: Just Ask GPT or look Inside. A prompt and Neural Networks Approach to Hallucination Detection
SemEval 2025
NLP_goats@DravidianLangTech 2025: Detecting Fake News in Dravidian Languages: A Text Classification Approach
NAACL 2025
Non-Existent Relationship: Fact-Aware Multi-Level Machine-Generated Text Detection
EMNLP 2025
Not ready for the bench: LLM legal interpretation is unstable and uncalibrated to human judgments
EMNLP 2025
NumPert: Numerical Perturbations to Probe Language Models for Veracity Prediction
IJCNLP 2025
OldJoe at AVeriTeC: In-context learning for fact-checking
ACL 2025
o-MEGA: Optimized Methods for Explanation Generation and Analysis
EMNLP 2025
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
NAACL 2025