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Showing 851–875 of 1282 papers

TitleStatusHype
GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales—0
Origin Identification for Text-Guided Image-to-Image Diffusion Models—0
Generating Educational Materials with Different Levels of Readability using LLMs—0
Generation Z's Ability to Discriminate Between AI-generated and Human-Authored Text on Discord—0
Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations—0
Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs—0
Generative Debunking of Climate Misinformation—0
Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation—0
Global Challenge for Safe and Secure LLMs Track 1—0
Global-Liar: Factuality of LLMs over Time and Geographic Regions—0
Graphical Models of False Information and Fact Checking Ecosystems—0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Handling and Presenting Harmful Text in NLP Research—0
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators—0
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation—0
Health Misinformation Detection in Web Content via Web2Vec: A Structural-, Content-based, and Context-aware Approach based on Web2Vec—0
Health Misinformation in Social Networks: A Survey of IT Approaches—0
Healthy Twitter discussions? Time will tell—0
Hermit Kingdom Through the Lens of Multiple Perspectives: A Case Study of LLM Hallucination on North Korea—0
Hierarchical Multi-Label Classification of Online Vaccine Concerns—0
Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset—0
HOMADOS at SemEval-2021 Task 6: Multi-Task Learning for Propaganda Detection—0
Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section—0
How Misuse of Statistics Can Spread Misinformation: A Study of Misrepresentation of COVID-19 Data—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified