2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Scaling Retrieval-Augmented Reasoning with Parallel Search and Explicit Merging
Jiabei Liu, Wenyu Mao, Junfei Tan +4
Deep search agents have proven effective in enhancing LLMs by retrieving external knowledge during multi-step reasoning. However, existing methods often generate a single query for…
cs.CV2024★ 2 cited
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu, Jiabei Liu, Keqin Li +4
Out-of-distribution (OOD) detection is crucial for deploying robust machine learning models, especially in areas where security is critical. However, traditional OOD detection meth…
cs.SE2024
Utilizing Deep Learning to Optimize Software Development Processes
Keqin Li, Armando Zhu, Peng Zhao +2
This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation…