A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends. - Zibin Zheng; Kaiwen Ning; Yanlin Wang 001; Jingwen Zhang; Dewu Zheng; Mingxi Ye; Jiachi Chen (CoRR, 2023)

CoSTV: Accelerating Code Search with Two-Stage Paradigm and Vector Retrieval. - Dewu Zheng; Yanlin Wang 001; Wenqing Chen; Jiachi Chen; Zibin Zheng (APSEC, 2024)

RepoMinCoder: Improving Repository-Level Code Generation Based on Information Loss Screening. - Yifan Li; Ensheng Shi; Dewu Zheng; Kefeng Duan; Jiachi Chen; Yanlin Wang 001 (Internetware, 2024)

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

How Well Do LLMs Generate Code for Different Application Domains? Benchmark and Evaluation. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Hongyu Zhang 002; Zibin Zheng (CoRR, 2024)

HumanEvo: An Evolution-Aware Benchmark for More Realistic Evaluation of Repository-Level Code Generation. - Dewu Zheng; Yanlin Wang 001; Ensheng Shi; Ruikai Zhang; Yuchi Ma; Hongyu Zhang 002; Zibin Zheng (ICSE, 2025)

Towards an Understanding of Context Utilization in Code Intelligence. - Yanlin Wang 001; Kefeng Duan; Dewu Zheng; Ensheng Shi; Fengji Zhang; Yanli Wang; Jiachi Chen; Xilin Liu; Yuchi Ma; Hongyu Zhang 002; Qianxiang Wang; Zibin Zheng (CoRR, 2025)