4 papers
Improving MPI Error Detection and Repair with Large Language Models and Bug References
Scott Piersall, Yang Gao, Shenyang Liu +1
Message Passing Interface (MPI) is a foundational technology in high-performance computing (HPC), widely used for large-scale simulations and distributed training (e.g., in machine…
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Shenyang Liu, Yang Gao, Shaoyan Zhai +1
Prompt Recovery, reconstructing prompts from the outputs of large language models (LLMs), has grown in importance as LLMs become ubiquitous. Most users access LLMs through APIs wit…
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models
Shenyang Liu, Saleh Almohaimeed, Liqiang Wang
The existing Text-to-SQL models suffer from a shortage of training data, inhibiting their ability to fully facilitate the applications of SQL queries in new domains. To address thi…
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Saleh Almohaimeed, Shenyang Liu, May Alsofyani +2
In the domain of semantic parsing, significant progress has been achieved in Text-to-SQL and question-answering tasks, both of which focus on extracting information from data sourc…