2 papers
cs.CL2024
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data
Haolong Li, Yu Ma, Yinqi Zhang +2
Large Language Models (LLMs) have shown excellent performance in language understanding, text generation, code synthesis, and many other tasks, while they still struggle in complex…
cs.SE2024
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models
Jie Chen, Xintian Han, Yu Ma +2
Automatic code generation has been a longstanding research topic. With the advancement of general-purpose large language models (LLMs), the ability to code stands out as one import…