Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge | ScienceToStartup | ScienceToStartup

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References (37)

[1]

MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models

2025Jiale Li, Ming-Kuan Wu et al.

[2]

CoMemo: LVLMs Need Image Context with Image Memory

2025Shi Liu, Weijie Su et al.

[3]

Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark

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"Develop a bi-level prompt optimization framework to enhance multimodal LLMs that serve as judges for AI-generated images."

AI Benchmarking•Score: 5•View PDF ↗

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Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge

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References (37)

Founder's Pitch

"Develop a bi-level prompt optimization framework to enhance multimodal LLMs that serve as judges for AI-generated images."

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Bi-Level Prompt Optimization for Multimodal LLM-as-a-Judge

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Founder's Pitch

"Develop a bi-level prompt optimization framework to enhance multimodal LLMs that serve as judges for AI-generated images."

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