5 papers
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
Xi Wang, Kun Li, Xianyao Ling +8
Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos and process fragmentation. En…
Super Research: Answering Highly Complex Questions with Large Language Models through Super Deep and Super Wide Research
Yubo Dong, Nianhao You, Yuxuan Hou +5
While Large Language Models (LLMs) have demonstrated proficiency in Deep Research or Wide Search, their capacity to solve highly complex questions-those requiring long-horizon plan…
LLM and Agent-Driven Data Analysis: A Systematic Approach for Enterprise Applications and System-level Deployment
Xi Wang, Xianyao Ling, Kun Li +5
The rapid progress in Generative AI and Agent technologies is profoundly transforming enterprise data management and analytics. Traditional database applications and system deploym…
Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactions
Xi Wang, Xianyao Ling, Kun Li +8
In the current era of big data, extracting deep insights from massive, heterogeneous, and complexly associated multi-dimensional data has become a significant challenge. Large Lang…
Optimizing and Fine-tuning Large Language Model for Urban Renewal
Xi Wang, Xianyao Ling, Tom Zhang +5
This study aims to innovatively explore adaptive applications of large language models (LLM) in urban renewal. It also aims to improve its performance and text generation quality f…