8 papers
Enhancing Transformer with GNN Structural Knowledge via Distillation: A Novel Approach
Zhihua Duan, Jialin Wang
Integrating the structural inductive biases of Graph Neural Networks (GNNs) with the global contextual modeling capabilities of Transformers represents a pivotal challenge in graph…
Empirical Research on Utilizing LLM-based Agents for Automated Bug Fixing via LangGraph
Jialin Wang, Zhihua Duan
This paper presents a novel framework for automated code generation and debugging, designed to improve accuracy, efficiency, and scalability in software development. The proposed s…
Prompt-Based Monte Carlo Tree Search for Mitigating Hallucinations in Large Models
Zhihua Duan, Jialin Wang
With the rapid development of large models in the field of artificial intelligence, how to enhance their application capabilities in handling complex problems in the field of scien…
Research on the Application of Spark Streaming Real-Time Data Analysis System and large language model Intelligent Agents
Jialin Wang, Zhihua Duan
This study explores the integration of Agent AI with LangGraph to enhance real-time data analysis systems in big data environments. The proposed framework overcomes limitations of…
Intelligent Spark Agents: A Modular LangGraph Framework for Scalable, Visualized, and Enhanced Big Data Machine Learning Workflows
Jialin Wang, Zhihua Duan
This paper presents a Spark-based modular LangGraph framework, designed to enhance machine learning workflows through scalability, visualization, and intelligent process optimizati…
Agent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models
Jialin Wang, Zhihua Duan
This paper explores the transformative role of Agent AI and LangGraph in advancing the automation and effectiveness of machine translation (MT). Agents are modular components desig…