Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR | ScienceToStartup | ScienceToStartup

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References (50)

[1]

Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models

2025Boxin Wang, Chankyu Lee et al.

[2]

CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs

2025Yongcheng Zeng, Zexu Sun et al.

[3]

FlowRL: Matching Reward Distributions for LLM Reasoning

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"Leveraging partition functions as difficulty schedulers, PACED-RL optimizes LLM performance for more efficient reward learning."

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Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR

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References (50)

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"Leveraging partition functions as difficulty schedulers, PACED-RL optimizes LLM performance for more efficient reward learning."

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Beyond Normalization: Rethinking the Partition Function as a Difficulty Scheduler for RLVR

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References (50)

Founder's Pitch

"Leveraging partition functions as difficulty schedulers, PACED-RL optimizes LLM performance for more efficient reward learning."

Commercial Viability Breakdown

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