VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models | ScienceToStartup | ScienceToStartup

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References (26)

[1]

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters

2025Shanbo Cheng, Yu Bao et al.

[2]

Multilingual Test-Time Scaling via Initial Thought Transfer

2025Prasoon Bajpai, Tanmoy Chakraborty

[3]

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

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"A novel reinforcement learning framework to significantly improve low-resource language translation by optimizing subword segmentation and data imbalance during training."

LLM Training•Score: 7•View PDF ↗

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VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models

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References (26)

Founder's Pitch

"A novel reinforcement learning framework to significantly improve low-resource language translation by optimizing subword segmentation and data imbalance during training."

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VEPO: Variable Entropy Policy Optimization for Low-Resource Language Foundation Models

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References (26)

Founder's Pitch

"A novel reinforcement learning framework to significantly improve low-resource language translation by optimizing subword segmentation and data imbalance during training."

Commercial Viability Breakdown

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