1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models
Jierui Li, Hung Le, Yingbo Zhou +3
Pre-trained on massive amounts of code and text data, large language models (LLMs) have demonstrated remarkable achievements in performing code generation tasks. With additional ex…
cs.CL2024
Distilling Algorithmic Reasoning from LLMs via Explaining Solution Programs
Jierui Li, Raymond Mooney
Distilling explicit chain-of-thought reasoning paths has emerged as an effective method for improving the reasoning abilities of large language models (LLMs) across various tasks.…
cs.CL2023★ 1 cited
Explaining Competitive-Level Programming Solutions using LLMs
Jierui Li, Szymon Tworkowski, Yingying Wu +1
In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate n…