12 citations · 24 across the 15 of their papers we have counts for
14 papers
Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents
Kaiwen Ning, Jiachi Chen, Jingwen Zhang +5
AI agents are systems capable of perceiving their environment, autonomously planning and executing tasks. Recent advancements in LLM have introduced a transformative paradigm for A…
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Yanlin Wang, Lianghong Guo, Ensheng Shi +8
Code search plays a crucial role in software development, enabling developers to retrieve and reuse code using natural language queries. While the performance of code search models…
Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution
Shuo Yang, Xingwei Lin, Jiachi Chen +5
The rapid advancement of blockchain platforms has significantly accelerated the growth of decentralized applications (DApps). Similar to traditional applications, DApps integrate f…
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention
Lianghong Guo, Yanlin Wang, Ensheng Shi +6
Code generation aims to automatically generate code snippets that meet given natural language requirements and plays an important role in software development. Although Code LLMs h…
RLCoder: Reinforcement Learning for Repository-Level Code Completion
Yanlin Wang, Yanli Wang, Daya Guo +4
Repository-level code completion aims to generate code for unfinished code snippets within the context of a specified repository. Existing approaches mainly rely on retrieval-augme…
Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow
Jiachi Chen, Chong Chen, Jiang Hu +4
Smart contract developers frequently seek solutions to developmental challenges on Q&A platforms such as Stack Overflow (SO). Although community responses often provide viable solu…