7 citations · 11 across the 11 of their papers we have counts for
12 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…
Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI
Zhihua Duan, Jialin Wang
With the rapid development of large model technology, the application of agent technology in various fields is becoming increasingly widespread, profoundly changing people's work a…
Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models
Zhihua Duan, Jialin Wang
Large Language Models (LLMs) still face challenges when dealing with complex reasoning tasks, often resulting in hallucinations, which limit the practical application of LLMs. To a…
Implicit Sentiment Analysis Based on Chain of Thought Prompting
Zhihua Duan, Jialin Wang
Implicit Sentiment Analysis (ISA) is a crucial research area in natural language processing. Inspired by the idea of large language model Chain of Thought (CoT), this paper introdu…
Multi-tool Integration Application for Math Reasoning Using Large Language Model
Zhihua Duan, Jialin Wang
Mathematical reasoning is an important research direction in the field of artificial intelligence. This article proposes a novel multi tool application framework for mathematical r…
AutoTest: Evolutionary Code Solution Selection with Test Cases
Zhihua Duan, Jialin Wang
With the development of code generation techniques, selecting the correct code solution from multiple candidate solutions has become a crucial task. This study proposes AutoTest, a…
Potential customer mining application of smart home products based on LightGBM PU learning and Spark ML algorithm practice
Duan Zhihua, Wang JiaLin
This paper studies the case of big data-based intelligent product potential customer mining internal competition in China Telecom Shanghai Company. Huge amounts of data based on bi…