A Rubric-Supervised Critic from Sparse Real-World Outcomes | ScienceToStartup | ScienceToStartup

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References (12)

[1]

Training Software Engineering Agents and Verifiers with SWE-Gym

2024Jiayi Pan, Xingyao Wang et al.

[2]

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

2024C. Snell, Jaehoon Lee et al.

[3]

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

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"Develop a rubric-supervised critic to enhance real-world coding agent performance through sparse interaction data."

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A Rubric-Supervised Critic from Sparse Real-World Outcomes

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References (12)

Founder's Pitch

"Develop a rubric-supervised critic to enhance real-world coding agent performance through sparse interaction data."

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A Rubric-Supervised Critic from Sparse Real-World Outcomes

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References (12)

Founder's Pitch

"Develop a rubric-supervised critic to enhance real-world coding agent performance through sparse interaction data."

Commercial Viability Breakdown

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