modelscope / modelscope/ms-swift
建议支持Pass@k training
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- Dominant language
- Python
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Description
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建议支持Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
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论文标题：Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
论文链接：https://arxiv.org/pdf/2508.1075
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked paper, “Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models,” and comparing its requirements with the repository’s existing training support. The issue is complete when Pass@k training is implemented and documented with a verifiable example, though the issue does not identify entry points or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100