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Papers

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Showing 1226–1250 of 1282 papers

TitleStatusHype
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
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models—0
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI—0
Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video—0
Human-in-the-Loop Annotation for Image-Based Engagement Estimation: Assessing the Impact of Model Reliability on Annotation Accuracy—0
Identifying False Content and Hate Speech in Sinhala YouTube Videos by Analyzing the Audio—0
Identifying Misinformation from Website Screenshots—0
Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TOKOFOUAverage F189.7—Unverified