1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.SE2025
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
Yifeng Di, Tianyi Zhang
Large Language Models (LLMs) have demonstrated unprecedented capability in code generation. However, LLM-generated code is still plagued with a wide range of functional errors, esp…
cs.HC2025
Dango: A Mixed-Initiative Data Wrangling System using Large Language Model
Wei-Hao Chen, Weixi Tong, Amanda Case +1
Data wrangling is a time-consuming and challenging task in a data science pipeline. While many tools have been proposed to automate or facilitate data wrangling, they often misinte…
cs.LG2024★ 1 cited
CodeJudge: Evaluating Code Generation with Large Language Models
Weixi Tong, Tianyi Zhang
Large Language Models (LLMs) have shown promising performance in code generation. However, how to reliably evaluate code generated by LLMs remains an unresolved problem. This paper…