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Papers

Showing 476500 of 1282 papers

TitleStatusHype
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines0
Detecting Edited Knowledge in Language Models0
Can a Hallucinating Model help in Reducing Human "Hallucination"?0
Large Language Model Agent for Fake News Detection0
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking0
Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checkingCode0
Exposing Text-Image Inconsistency Using Diffusion ModelsCode1
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities0
Inside the echo chamber: Linguistic underpinnings of misinformation on TwitterCode0
Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter0
Classifying Human-Generated and AI-Generated Election Claims in Social Media0
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph TransformersCode1
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMsCode2
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking0
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models0
Misinformation Resilient Search Rankings with Webgraph-based InterventionsCode0
Mitigating Cascading Effects in Large Adversarial Graph Environments0
Rumour Evaluation with Very Large Language ModelsCode0
Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions0
Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube0
Pitfalls of Conversational LLMs on News Debiasing0
Evaluation of an LLM in Identifying Logical Fallacies: A Call for Rigor When Adopting LLMs in HCI Research0
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction HelpsCode0
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7Unverified