Introduces Explicit Logic Channel (ELC) with LLM, VFM and probabilistic inference for validating, selecting and enhancing MLLMs on zero-shot tasks using Consistency Rate and cross-channel integration.
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The SLSO framework uses iterative structured output generation, consistency checks, and regeneration to improve GPT-VLM accuracy on jaw cyst findings in panoramic radiographs compared to standard chain-of-thought prompting.
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Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks
Introduces Explicit Logic Channel (ELC) with LLM, VFM and probabilistic inference for validating, selecting and enhancing MLLMs on zero-shot tasks using Consistency Rate and cross-channel integration.
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Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with Structured Output (SLSO) Framework
The SLSO framework uses iterative structured output generation, consistency checks, and regeneration to improve GPT-VLM accuracy on jaw cyst findings in panoramic radiographs compared to standard chain-of-thought prompting.