Summary of Outcome-refining Process Supervision For Code Generation, by Zhuohao Yu et al.
Outcome-Refining Process Supervision for Code Generation
by Zhuohao Yu, Weizheng Gu, Yidong Wang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
First submitted to arxiv on: 19 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to guiding large language models (LLMs) in code generation tasks that require deep algorithmic reasoning. Unlike previous methods, which rely on learned reward models and expensive training data, the authors suggest treating outcome refinement itself as the process to be supervised. The framework uses concrete execution signals to ground supervision of reasoning steps and tree-structured exploration to maintain multiple solution trajectories simultaneously. Experiments demonstrate significant improvements in correctness (26.9%) and efficiency (42.2%) across five models and three datasets, suggesting that providing structured reasoning space with concrete verification signals is crucial for solving complex programming tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers learn how to write code better. Right now, computers can generate code, but they often struggle when the task requires deep thinking. The authors came up with a new way to help computers think more deeply by treating the process of refining their outcomes as something that needs to be supervised. This approach uses real execution signals to guide the computer’s thought process and allows it to explore multiple solutions at once. The results show that this method can greatly improve the accuracy and speed of code generation, making it a promising step forward in artificial intelligence. |
Keywords
» Artificial intelligence » Supervised
