RADAR: Revealing Asymmetric Development of Abilities in MLLM Pre-training | ScienceToStartup | ScienceToStartup

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References (58)

[1]

Qwen3-VL Technical Report

2025Shuai Bai, Yuxuan Cai et al.

[2]

Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training

2025Junlin Han, Shengbang Tong et al.

[3]

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Founder's Pitch

"RADAR provides an efficient framework to evaluate the asymmetric development of skills in Multi-modal Large Language Models without fine-tuning."

MLLM Evaluation•Score: 5•View PDF ↗

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RADAR: Revealing Asymmetric Development of Abilities in MLLM Pre-training

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References (58)

Founder's Pitch

"RADAR provides an efficient framework to evaluate the asymmetric development of skills in Multi-modal Large Language Models without fine-tuning."

Commercial Viability Breakdown

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RADAR: Revealing Asymmetric Development of Abilities in MLLM Pre-training

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References (58)

Founder's Pitch

"RADAR provides an efficient framework to evaluate the asymmetric development of skills in Multi-modal Large Language Models without fine-tuning."

Commercial Viability Breakdown

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