dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models | ScienceToStartup | ScienceToStartup

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References (51)

[1]

dUltra: Ultra-Fast Diffusion Language Models via Reinforcement Learning

2025Shirui Chen, Jiantao Jiao et al.

[2]

TiDAR: Think in Diffusion, Talk in Autoregression

2025Jingyu Liu, Xin Dong et al.

[3]

SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models

Founder's Pitch

"A novel policy optimization method for diffusion large language models that significantly reduces training costs and improves performance on instruction-following and reasoning tasks."

LLM Training•Score: 7•View PDF ↗

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dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

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References (51)

Founder's Pitch

"A novel policy optimization method for diffusion large language models that significantly reduces training costs and improves performance on instruction-following and reasoning tasks."

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dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models

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References (51)

Founder's Pitch

"A novel policy optimization method for diffusion large language models that significantly reduces training costs and improves performance on instruction-following and reasoning tasks."

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