Multimodal Fact-Level Attribution for Verifiable Reasoning | ScienceToStartup | ScienceToStartup

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References (45)

[1]

Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding

2025Ziyang Wang, Honglu Zhou et al.

[2]

Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning

2025Ziyang Wang, Jaehong Yoon et al.

[3]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Founder's Pitch

"MuRGAt provides a benchmark and automatic evaluation tool for verifying multimodal reasoning and attribution in AI models."

Multimodal AI•Score: 6•View PDF ↗

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0-10 scale

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1/4 signals

2.5

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4/4 signals

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1/4 signals

2.5

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Multimodal Fact-Level Attribution for Verifiable Reasoning

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References (45)

Founder's Pitch

"MuRGAt provides a benchmark and automatic evaluation tool for verifying multimodal reasoning and attribution in AI models."

Commercial Viability Breakdown

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Why It Matters

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Multimodal Fact-Level Attribution for Verifiable Reasoning

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References (45)

Founder's Pitch

"MuRGAt provides a benchmark and automatic evaluation tool for verifying multimodal reasoning and attribution in AI models."

Commercial Viability Breakdown

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