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Papers

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Showing 451–500 of 1282 papers

TitleStatusHype
Implications for Governance in Public Perceptions of Societal-scale AI Risks—0
An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics—0
ThatiAR: Subjectivity Detection in Arabic News Sentences—0
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization—0
Chaos with Keywords: Exposing Large Language Models Sycophantic Hallucination to Misleading Keywords and Evaluating Defense Strategies—0
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis—0
Censorship in Democracy—0
Missci: Reconstructing Fallacies in Misrepresented ScienceCode0
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
Early Detection of Misinformation for Infodemic Management: A Domain Adaptation Approach—0
Enhancing Text Authenticity: A Novel Hybrid Approach for AI-Generated Text Detection—0
SPOT: Text Source Prediction from Originality Score Thresholding—0
Unlearning Climate Misinformation in Large Language Models—0
The global landscape of academic guidelines for generative AI and Large Language Models—0
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic SpaceCode1
The Influencer Next Door: How Misinformation Creators Use GenAI—0
Consumer lying in online reviews: recent evidence—0
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs—0
SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks—0
Tailoring Vaccine Messaging with Common-Ground OpinionsCode0
Detecting Fallacies in Climate Misinformation: A Technocognitive Approach to Identifying Misleading Argumentation—0
Discursive objection strategies in online comments: Developing a classification schema and validating its training—0
ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source—0
LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection—0
Quantifying the Capabilities of LLMs across Scale and Precision—0
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines—0
Detecting Edited Knowledge in Language Models—0
Can a Hallucinating Model help in Reducing Human "Hallucination"?—0
Large Language Model Agent for Fake News Detection—0
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking—0
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 Opportunities—0
Inside the echo chamber: Linguistic underpinnings of misinformation on TwitterCode0
Augmented CARDS: A machine learning approach to identifying triggers of climate change misinformation on Twitter—0
Classifying Human-Generated and AI-Generated Election Claims in Social Media—0
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 Benchmarking—0
Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection—0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
Misinformation Resilient Search Rankings with Webgraph-based InterventionsCode0
Mitigating Cascading Effects in Large Adversarial Graph Environments—0
Rumour Evaluation with Very Large Language ModelsCode0
Introducing L2M3, A Multilingual Medical Large Language Model to Advance Health Equity in Low-Resource Regions—0
Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube—0
Pitfalls of Conversational LLMs on News Debiasing—0
Evaluation of an LLM in Identifying Logical Fallacies: A Call for Rigor When Adopting LLMs in HCI Research—0
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 F189.7—Unverified