5 citations · 7 across the 5 of their papers we have counts for
5 papers
MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
Shu Wang, Edwin Yu, Oscar Love +4
Large Language Model (LLM) agents require persistent memory to maintain personalization, factual continuity, and long-horizon reasoning, yet standard context-window and retrieval-a…
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…
A Multi-Level Trace Clustering Analysis Scheme for Measuring Students' Self-Regulated Learning Behavior in a Master-Based Online Learning Environment
Tom Zhang, Michelle Taub, Zhongzhou Chen
The study introduces a new analysis scheme to analyze trace data and visualize students' self-regulated learning strategies in a mastery-based online learning modules platform. The…
Analyzing the Heterogeneous Impact of Remote Learning on Students' Ability to Stay on Track During the Pandemic
Zhonzhou Chen, Tom Zhang
This study investigates how remote learning due to the COVID pandemic impacts students' ability to keep up with the pace of instruction in a university level physics course, with a…
Measuring the Impact of COVID-19 Induced Campus Closure on Student Self-Regulated Learning in Physics Online Learning Modules
Tom Zhang, Michelle Taub, Zhongzhou Chen
This paper examines the impact of COVID-19 induced campus closure on university students' self-regulated learning behavior by analyzing click-stream data collected from student int…