MARS: Margin-Aware Reward-Modeling with Self-Refinement | ScienceToStartup | ScienceToStartup

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References (39)

[1]

Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents

2025Shuo Ren, Pu Jian et al.

[2]

Improving the Scaling Laws of Synthetic Data with Deliberate Practice

2025Reyhane Askari Hemmat, Mohammad Pezeshki et al.

[3]

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Founder's Pitch

"Develop a framework, MARS, for adaptive data augmentation to enhance reward modeling in reinforcement learning with self-refinement strategies."

Reinforcement Learning•Score: 5•View PDF ↗

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MARS: Margin-Aware Reward-Modeling with Self-Refinement

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References (39)

Founder's Pitch

"Develop a framework, MARS, for adaptive data augmentation to enhance reward modeling in reinforcement learning with self-refinement strategies."

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MARS: Margin-Aware Reward-Modeling with Self-Refinement

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References (39)

Founder's Pitch

"Develop a framework, MARS, for adaptive data augmentation to enhance reward modeling in reinforcement learning with self-refinement strategies."

Commercial Viability Breakdown

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