Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning | ScienceToStartup | ScienceToStartup

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References (36)

[1]

Video-KTR: Reinforcing Video Reasoning via Key Token Attribution

2026Ziyue Wang, Sheng Jin et al.

[2]

SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More

2026Muye Huang, Lingling Zhang et al.

[3]

Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in

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"Develop a lightweight framework enhancing multimodal language model reasoning through selective token reinforcement."

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Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning

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"Develop a lightweight framework enhancing multimodal language model reasoning through selective token reinforcement."

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Credit Where It is Due: Cross-Modality Connectivity Drives Precise Reinforcement Learning for MLLM Reasoning

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References (36)

Founder's Pitch

"Develop a lightweight framework enhancing multimodal language model reasoning through selective token reinforcement."

Commercial Viability Breakdown

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