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Hallucination

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Showing 1426–1450 of 1816 papers

TitleStatusHype
Mitigating Image Captioning Hallucinations in Vision-Language Models—0
Mitigating Knowledge Conflicts in Language Model-Driven Question Answering—0
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting—0
Mitigating Large Language Model Hallucination with Faithful Finetuning—0
Mitigating LLM Hallucinations via Conformal Abstention—0
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy—0
Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation—0
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance—0
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration—0
Data-augmented phrase-level alignment for mitigating object hallucination—0
MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation—0
MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot—0
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models—0
mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations—0
Modeling the Hallucinating Brain: A Generative Adversarial Framework—0
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization—0
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization—0
Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation—0
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models—0
Multi-agents based User Values Mining for Recommendation—0
Multilingual Fine-Grained News Headline Hallucination Detection—0
Multilingual Hallucination Gaps in Large Language Models—0
Multilingual Prompting for Improving LLM Generation Diversity—0
Multi-Modal Hallucination Control by Visual Information Grounding—0
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models—0
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