Rongyu Cao

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality

2023

Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang, Yongbin Li. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

SWE-GPT: A Process-Centric Language Model for Automated Software Improvement

2025 · Proceedings of the ACM on software engineering.

Large language models (LLMs) have demonstrated remarkable performance in code generation, significantly enhancing the coding efficiency of developers. Recent advancements in LLM-based agents have led to significant progress in end-to-end automatic software engineering (ASE), particularly …

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

2025 · arXiv (Cornell University)

Recent advancements in software engineering agents have demonstrated promising capabilities in automating program improvements. However, their reliance on closed-source or resource-intensive models introduces significant deployment challenges in private environments, prompting a critical question: \textit{How can …

Mechanism-Aware Neural Machine for Dialogue Response Generation

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

To the same utterance, people's responses in everyday dialogue may be diverse largely in terms of content semantics, speaking styles, communication intentions and so on. Previous generative conversational models ignore these 1-to-n relationships between a …