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Papers

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Showing 376–400 of 1282 papers

TitleStatusHype
Image Provenance Analysis via Graph Encoding with Vision Transformer—0
Analysis of child development facts and myths using text mining techniques and classification models—0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsCode0
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMCode2
Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics—0
Epistemic Injustice in Generative AI—0
Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian—0
"Image, Tell me your story!" Predicting the original meta-context of visual misinformationCode1
Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach—0
Web Retrieval Agents for Evidence-Based Misinformation DetectionCode0
The AI Risk Repository: A Comprehensive Meta-Review, Database, and Taxonomy of Risks From Artificial Intelligence—0
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection—0
Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph RetrievalsCode0
LiveFC: A System for Live Fact-Checking of Audio Streams—0
Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media—0
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs—0
Can GPT-4 Models Detect Misleading Visualizations?—0
Crowd Intelligence for Early Misinformation Prediction on Social MediaCode0
Tackling Noisy Clients in Federated Learning with End-to-end Label CorrectionCode1
A Logical Fallacy-Informed Framework for Argument GenerationCode0
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations—0
Misinforming LLMs: vulnerabilities, challenges and opportunities—0
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 PandemicCode0
Revisiting Tampered Scene Text Detection in the Era of Generative AICode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified