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Hallucination

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Showing 1276–1300 of 1816 papers

TitleStatusHype
Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection—0
Temporal Insight Enhancement: Mitigating Temporal Hallucination in Multimodal Large Language Models—0
Text2Place: Affordance-aware Text Guided Human Placement—0
Text-Aware Image Restoration with Diffusion Models—0
Text Generation with Text-Editing Models—0
QuantMCP: Grounding Large Language Models in Verifiable Financial Reality—0
TextSquare: Scaling up Text-Centric Visual Instruction Tuning—0
Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation—0
Texture Hallucination for Large-Factor Painting Super-Resolution—0
The Claude 3 Model Family: Opus, Sonnet, Haiku—0
The constitution of visual perceptual units in the functional architecture of V1—0
The Dance of Atoms-De Novo Protein Design with Diffusion Model—0
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination—0
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems—0
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance—0
The Hallucination Tax of Reinforcement Finetuning—0
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances—0
The Impact of Large Language Models on Task Automation in Manufacturing Services—0
The Labyrinth of Links: Navigating the Associative Maze of Multi-modal LLMs—0
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination—0
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem—0
Theory of Hallucinations based on Equivariance—0
The Pitfalls of Defining Hallucination—0
What Makes for Good Image Captions?—0
The Role of Background Information in Reducing Object Hallucination in Vision-Language Models: Insights from Cutoff API Prompting—0
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