SG
Shuzheng Gao
cs.SEcs.AIcs.CLcs.CRcs.ETcs.LG
On Valency
published · living versionsW_d3zq9krp·v1 · currentpublished
Training LLM Agents to Automate LLM Post-Training with RSI-Dojo
with Zhaojian Yu, Penghao Yin, Yuling Shi, Kai Cai +2
1 version
Preprints & journals
22 papers in the corpus · 2021–2026Multi-level Code Optimization via Mixture of Prompts2607.23665v1 · Yun Peng, Jun Wan, Jiakun Liu et al.2026 · 0 citationsarXiv
SWE-MeM: Learning Adaptive Memory Management for Long-Horizon Coding Agents2606.28434v1 · Shuzheng Gao, Wenhao Zeng, Zhaojian Yu et al.2026 · 0 citationsarXiv
Dockerless: Environment-Free Program Verifier for Coding Agents2606.28436v1 · Wenhao Zeng, Yuling Shi, Xiaodong Gu et al.2026 · 0 citationsarXiv
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning2605.04066v2 · Yiming Huang, Zhenbo Shi, Shuzheng Gao et al.2026 · 0 citationsarXiv
SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning2510.17130v1 · Shuzheng Gao, Chaozheng Wang, Cuiyun Gao et al.2025 · 1 citationarXiv
TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework2510.17163v1 · Shuzheng Gao, Eric John Li, Man Ho Lam et al.2025 · 0 citationsarXiv
SR-Eval: Evaluating LLMs on Code Generation under Stepwise Requirement Refinement2509.18808v2 · Zexun Zhan, Shuzheng Gao, Ruida Hu et al.2025 · 0 citationsarXiv
Empirical Study of Code Large Language Models for Binary Security Patch Detection2509.06052v1 · Qingyuan Li, Binchang Li, Cuiyun Gao et al.2025 · 1 citationarXiv
Integrating Rules and Semantics for LLM-Based C-to-Rust Translation2508.06926v1 · Feng Luo, Kexing Ji, Cuiyun Gao et al.2025 · 3 citationsarXiv
JSidentify-V2: Leveraging Dynamic Memory Fingerprinting for Mini-Game Plagiarism Detection2508.01655v1 · Zhihao Li, Chaozheng Wang, Zongjie Li et al.2025 · 0 citationsarXiv
RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry2505.15179v1 · Chaozheng Wang, Zezhou Yang, Shuzheng Gao et al.2025 · 10 citationsarXiv
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation2501.01329v1 · Shuzheng Gao, Chaozheng Wang, Cuiyun Gao et al.2025 · 1 citationarXiv
A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How2409.13178v1 · Chaozheng Wang, Shuzheng Gao, Cuiyun Gao et al.2024 · 7 citationsarXiv
Search-Based LLMs for Code Optimization2408.12159v1 · Shuzheng Gao, Cuiyun Gao, Wenchao Gu et al.2024 · 25 citationsarXiv
SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection2403.19096v1 · Xin-Cheng Wen, Cuiyun Gao, Shuzheng Gao et al.2024 · 23 citationsarXiv
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models2401.01060v1 · Shuzheng Gao, Wenxin Mao, Cuiyun Gao et al.2024 · 18 citationsarXiv
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes2309.08115v1 · Chaozheng Wang, Zongjie Li, Yun Peng et al.2023 · 17 citationsarXiv
Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors2306.01394v1 · Yun Peng, Shuzheng Gao, Cuiyun Gao et al.2023 · 51 citationsarXiv
What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?2304.07575v2 · Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao et al.2023 · 106 citationsarXiv
Keeping Pace with Ever-Increasing Data: Towards Continual Learning of Code Intelligence Models2302.03482v1 · Shuzheng Gao, Hongyu Zhang, Cuiyun Gao et al.2023 · 17 citationsarXiv
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension2207.11104v2 · Shuzheng Gao, Cuiyun Gao, Chaozheng Wang et al.2022 · 19 citationsarXiv
Code Structure Guided Transformer for Source Code Summarization2104.09340v2 · Shuzheng Gao, Cuiyun Gao, Yulan He et al.2021 · 115 citationsarXiv
Career total: 25 works. 22 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.