Multi-Reward RL Optimization: GDPO for Language Models | ScienceToStartup | ScienceToStartup

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References (36)

[1]

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

2025DeepSeek-AI, A. Liu et al.

[2]

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

2025Shih-Yang Liu, Xin Dong et al.

[3]

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

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Multi-Reward RL Optimization: GDPO for Language Models

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"Optimize multi-reward reinforcement learning with GDPO for stable and precise model training."

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Multi-Reward RL Optimization: GDPO for Language Models

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References (36)

Founder's Pitch

"Optimize multi-reward reinforcement learning with GDPO for stable and precise model training."

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