This survey introduces the Generate-Filter-Control-Replay (GFCR) taxonomy to structure rollout pipelines for RL-based post-training of reasoning LLMs.
G\^2rpo-a: Guided group relative policy optimization with adaptive guidance
3 Pith papers cite this work. Polarity classification is still indexing.
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Flash-GRPO introduces iso-temporal grouping and temporal gradient rectification to enable single-step GRPO training that outperforms full-trajectory methods on video diffusion alignment under low compute budgets.
A survey compiling RL methods, challenges, data resources, and applications for enhancing reasoning in large language models and large reasoning models since DeepSeek-R1.
citing papers explorer
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Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
This survey introduces the Generate-Filter-Control-Replay (GFCR) taxonomy to structure rollout pipelines for RL-based post-training of reasoning LLMs.
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Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization
Flash-GRPO introduces iso-temporal grouping and temporal gradient rectification to enable single-step GRPO training that outperforms full-trajectory methods on video diffusion alignment under low compute budgets.
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A Survey of Reinforcement Learning for Large Reasoning Models
A survey compiling RL methods, challenges, data resources, and applications for enhancing reasoning in large language models and large reasoning models since DeepSeek-R1.