Papers with checkpoint

1 papers
Parallel Test-Time Scaling for Latent Reasoning Models (2026.acl-long)

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Challenge: Parallel test-time scaling is a pivotal approach for enhancing large language models.
Approach: They propose two uncertainty-inspired stochastic strategies for parallel test-time scaling for latent reasoning models and a Latent Reward Model for aggregation.
Outcome: The proposed model scales well with compute and enables effective trajectory selection.

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