Multi-Path Collaborative Reasoning via RL (GRPO & M3PO)
What it is
A reinforcement learning framework implementing Group Relative Policy Optimization (GRPO) and Multi-Path Collaborative Reasoning (M3PO) for fine-tuning language models. It uses a custom RL loop to train models on math reasoning tasks by rewarding both correctness and format compliance.
The problem it solves
Standard RLHF can be computationally expensive and may not fully capture the collaborative nature of multi-path reasoning.
What you could use it for
- Fine-tuning LLMs for complex mathematical reasoning (e.g., GSM8K)
- Implementing Group Relative Policy Optimization (GRPO) for RLHF
- Developing multi-path reasoning models that blend embeddings across different generation paths
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.