activity
20222026
most citedNatural Attack for Pre-trained Models of Code

163 citations · 302 across the 32 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.SE2024

Synthesizing Efficient and Permissive Programmatic Runtime Shields for Neural Policies

Jieke Shi, Junda He, Zhou Yang +2

With the increasing use of neural policies in control systems, ensuring their safety and reliability has become a critical software engineering task. One prevalent approach to ensu…

cs.SE2024

Finding Safety Violations of AI-Enabled Control Systems through the Lens of Synthesized Proxy Programs

Jieke Shi, Zhou Yang, Junda He +4

Given the increasing adoption of modern AI-enabled control systems, ensuring their safety and reliability has become a critical task in software testing. One prevalent approach to…

cs.SE2024

PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models

Junda He, Bowen Xu, Zhou Yang +5

Stack Overflow is one of the most influential Software Question & Answer (SQA) websites, hosting millions of programming-related questions and answers. Tags play a critical role in…

cs.SE2024★ 22 cited

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim +30

Task automation has been greatly empowered by the recent advances in Large Language Models (LLMs) via Python code, where the tasks ranging from software engineering development to…

cs.SE2024★ 10 cited

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

Junda He, Christoph Treude, David Lo

Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human…

cs.SE2024

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation

Chengran Yang, Jiakun Liu, Bowen Xu +5

API documentation is often the most trusted resource for programming. Many approaches have been proposed to augment API documentation by summarizing complementary information from…