Linking Perception, Confidence and Accuracy in MLLMs | ScienceToStartup | ScienceToStartup

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References (51)

[1]

What do vision-language models see in the context? Investigating multimodal in-context learning

2025G. O. D. Santos, Esther Colombini et al.

[2]

Revisiting Multimodal Positional Encoding in Vision-Language Models

2025Jie Huang, Xuejing Liu et al.

[3]

RL makes MLLMs see better than SFT

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"A framework that enhances the confidence calibration of Multi-modal Large Language Models through innovative reinforcement learning techniques."

Multi-modal Learning•Score: 7•View PDF ↗

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Linking Perception, Confidence and Accuracy in MLLMs

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References (51)

Founder's Pitch

"A framework that enhances the confidence calibration of Multi-modal Large Language Models through innovative reinforcement learning techniques."

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Linking Perception, Confidence and Accuracy in MLLMs

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References (51)

Founder's Pitch

"A framework that enhances the confidence calibration of Multi-modal Large Language Models through innovative reinforcement learning techniques."

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