most citedAgent AI with LangGraph: A Modular Framework for Enhancing Machine Translation Using Large Language Models

7 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2024

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…

cs.AI2024

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…

cs.CL20247 cited

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…

cs.CL2024

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…

cs.AI2024

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…

cs.SE2024

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…