No Hindsight for LLM Fact-Checkers: Measuring Leakage Channels in Misinformation Detection
cs.CL
Submitted: 2026-10-04
Updated: 2026-10-04
Comments: 11 pages, 5 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
- FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios
- Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking
- Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
- A Survey on Automated Fact-Checking
- Chronologically Consistent Large Language Models
- Beyond Retrieval: Improving Evidence Quality for LLM-based Multimodal Fact-Checking
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
- A Guide to Misinformation Detection Data and Evaluation
- QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
- A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition
- Benchmark Data Contamination of Large Language Models: A Survey
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