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Fact-Checking
976 directly classified papers
Papers per year
2017: 5
2018: 31
2019: 39
2020: 42
2021: 94
2022: 67
2023: 90
2024: 193
2025: 359
2026: 56
Papers
IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection
NAACL 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
NumPert: Numerical Perturbations to Probe Language Models for Veracity Prediction
IJCNLP 2025
BlueRay@DravidianLangTech-2025: Fake News Detection in Dravidian Languages
NAACL 2025
ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos
EMNLP 2025
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science
EMNLP 2025
CIC-NLP@DravidianLangTech 2025: Fake News Detection in Dravidian Languages
NAACL 2025
Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding
EMNLP 2025
FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking
EMNLP 2025
PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
ACL 2025
Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models
COLING 2025
ShortCheck: Checkworthiness Detection of Multilingual Short‐Form Videos
AACL 2025
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context
AACL 2025
SSA: Semantic Contamination of LLM-Driven Fake News Detection
EMNLP 2025
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification
EACL 2024
Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning
EACL 2024
A Thesis Proposal ClaimInspector Framework: A Hybrid Approach to Data Annotation using Fact-Checked Claims and LLMs
EACL 2024
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
EMNLP 2024
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation
ACL 2024
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
EACL 2024
VeriScore: Evaluating the factuality of verifiable claims in long-form text generation
EMNLP 2024
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
ACL 2024
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation
EMNLP 2024
How Entangled is Factuality and Deception in German?
EMNLP 2024
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