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Hallucination

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Showing 1276–1300 of 1816 papers

TitleStatusHype
Can a Hallucinating Model help in Reducing Human "Hallucination"?—0
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation—0
Harmonic LLMs are Trustworthy—0
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology—0
MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot—0
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning—0
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction—0
SkinGEN: an Explainable Dermatology Diagnosis-to-Generation Framework with Interactive Vision-Language Models—0
Integrating Chemistry Knowledge in Large Language Models via Prompt EngineeringCode0
TextSquare: Scaling up Text-Centric Visual Instruction Tuning—0
Single-sample image-fusion upsampling of fluorescence lifetime images—0
Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media TextsCode0
Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales—0
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering—0
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning—0
A computational account of the development and evolution of psychotic symptoms—0
Fewer Truncations Improve Language Modeling—0
Anatomy of Industrial Scale Multilingual ASR—0
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual InformationCode0
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