201 citations · 276 across the 8 of their papers we have counts for
9 papers
From Errors to Rules: Iterative Prompt Optimization for Text Classification
Yueying Cui, Renhao Xue, Yi Zhang +1
Prompt optimization for text classification spans diverse approaches, from demonstration selection to exploration-based search to error-driven diagnosis, each with known but incomp…
Providing Real-time Assistance for Repairing Runtime Exceptions using Stack Overflow Posts
Sonal Mahajan, Mukul R. Prasad
Runtime Exceptions (REs) are an important class of bugs that occur frequently during code development. Traditional Automatic Program Repair (APR) tools are of limited use in this "…
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
Ripon K. Saha, Akira Ura, Sonal Mahajan +6
Automatic machine learning, or AutoML, holds the promise of truly democratizing the use of machine learning (ML), by substantially automating the work of data scientists. However,…
Elixir: Effective object-oriented program repair
Ripon K. Saha, Yingjun Lyu, Hiroaki Yoshida +1
This work is motivated by the pervasive use of method invocations in object-oriented (OO) programs, and indeed their prevalence in patches of OO-program bugs. We propose a generate…
Q&A MAESTRO: Q&A Post Recommendation for Fixing Java Runtime Exceptions
Yusuke Kimura, Takumi Akazaki, Shinji Kikuchi +2
Programmers often use Q&A sites (e.g., Stack Overflow) to understand a root cause of program bugs. Runtime exceptions is one of such important class of bugs that is actively discus…
Recommending Stack Overflow Posts for Fixing Runtime Exceptions using Failure Scenario Matching
Sonal Mahajan, Negarsadat Abolhassani, Mukul R. Prasad
Using online Q&A forums, such as Stack Overflow (SO), for guidance to resolve program bugs, among other development issues, is commonplace in modern software development practice.…