2 citations · 3 across the 5 of their papers we have counts for
5 papers
SWE-Next: Scalable Real-World Software Engineering Tasks for Agents
Jiarong Liang, Zhiheng Lyu, Zijie Liu +4
Executable software engineering data is valuable for training SWE agents, but scaling it remains difficult for two reasons: only a small fraction of real repository changes yield v…
SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
Songcheng Cai, Zhiheng Lyu, Yuansheng Ni +13
Agentic repository-level code understanding is essential for automating complex software engineering tasks, yet the field lacks reliable benchmarks. Existing evaluations often over…
Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning
Shaoyu Yang, Xiang Chen, Ke Liu +2
When drafting question posts for Stack Overflow, developers may not accurately summarize the core problems in the question titles, which can cause these questions to not get timely…
Automatic Smart Contract Comment Generation via Large Language Models and In-Context Learning
Junjie Zhao, Xiang Chen, Guang Yang +1
The previous smart contract code comment (SCC) generation approaches can be divided into two categories: fine-tuning paradigm-based approaches and information retrieval-based appro…
APICom: Automatic API Completion via Prompt Learning and Adversarial Training-based Data Augmentation
Yafeng Gu, Yiheng Shen, Xiang Chen +3
Based on developer needs and usage scenarios, API (Application Programming Interface) recommendation is the process of assisting developers in finding the required API among numero…