Zhiyin Yu — accepted AI-conference papers

2025

Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study

Bowen Li, Wenhan Wu, Ziwei Tang, Lin Shi, John Yang, Jinyang Li +10

COLING 2025main

Recent advancements in large language models (LLMs) have significantly enhanced their coding capabilities. However, existing benchmarks predominantly focused on simplified or isolated aspects of coding, such as single-file code generation or repository issue debugging, falling short of measuring the…

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2025

scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation

Zhiyin Yu, Chao Zheng, Chong Chen, Xian-Sheng Hua, Xiao Luo

ACL 2025finding

In recent years, large language models (LLMs) such as GPT-4 have demonstrated impressive potential in a wide range of fields, including biology, genomics and healthcare. Numerous studies have attempted to apply pre-trained LLMs to single-cell data analysis within one tissue. However, when it comes t…

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