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Papers

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Showing 151–175 of 1282 papers

TitleStatusHype
Persuade Me if You Can: A Framework for Evaluating Persuasion Effectiveness and Susceptibility Among Large Language Models—0
SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-CheckingCode2
Unmasking Digital Falsehoods: A Comparative Analysis of LLM-Based Misinformation Detection Strategies—0
EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval—0
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy—0
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems—0
Analyzing the temporal dynamics of linguistic features contained in misinformation—0
The Illusion of Rights based AI Regulation—0
Protecting multimodal large language models against misleading visualizationsCode0
An exploration of features to improve the generalisability of fake news detection models—0
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning AttacksCode1
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models—0
Leveraging Structural Knowledge in Diffusion Models for Source Localization in Data-Limited Graph Scenarios—0
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-ThoughtCode1
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes—0
LawPal : A Retrieval Augmented Generation Based System for Enhanced Legal Accessibility in India—0
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals—0
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs—0
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare—0
Beyond Translation: LLM-Based Data Generation for Multilingual Fact-CheckingCode0
GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales—0
Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation—0
Can Community Notes Replace Professional Fact-Checkers?—0
A Baseline Method for Removing Invisible Image Watermarks using Deep Image Prior—0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified