Tag: Hallucination Mitigation
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Decoding by Perturbation: Reducing MLLM Hallucinations
Discover Decoding by Perturbation, a training-free method that mitigates hallucinations in multimodal large language models by dynamic textual perturbation...
Reducing Hallucinations in Multimodal AI with V-STAR
Discover how V-STAR enhances multimodal reasoning by reducing hallucinations through visual anchoring and improved attention mechanisms.
Noise-Aware Learning to Reduce Hallucinations in ALLMs
Discover how Noise-Aware In-Context Learning mitigates hallucinations in auditory large language models, improving accuracy without costly fine-tuning.
3D-VCD: Mitigating Hallucinations in 3D Embodied Agents
Discover 3D-VCD, a novel framework that reduces hallucinations in 3D-LLM embodied agents using visual contrastive decoding for safer AI decisions.
OSCAR: Reducing Hallucinations in Diffusion Language Models
Discover OSCAR, a training-free framework using cross-chain entropy to reduce hallucinations and improve accuracy in diffusion language models.