Causal Decoding for Hallucination-Resistant Multimodal Large Language Models | ScienceToStartup | ScienceToStartup

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References (31)

[1]

Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs

2024Shiping Liu, Kecheng Zheng et al.

[2]

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

2024Yibin Wang, Haizhou Shi et al.

[3]

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding

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"Develop a causal decoding framework to make multimodal language models hallucination-resistant, enhancing faithfulness in responses."

Multimodal AI•Score: 6•View PDF ↗

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Causal Decoding for Hallucination-Resistant Multimodal Large Language Models

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References (31)

Founder's Pitch

"Develop a causal decoding framework to make multimodal language models hallucination-resistant, enhancing faithfulness in responses."

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Causal Decoding for Hallucination-Resistant Multimodal Large Language Models

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References (31)

Founder's Pitch

"Develop a causal decoding framework to make multimodal language models hallucination-resistant, enhancing faithfulness in responses."

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