40 citations · 90 across the 14 of their papers we have counts for
5 papers · 1 filter
Long Term Memory: The Foundation of AI Self-Evolution
Xun Jiang, Feng Li, Han Zhao +12
Large language models (LLMs) like GPTs, trained on vast datasets, have demonstrated impressive capabilities in language understanding, reasoning, and planning, achieving human-leve…
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
Yihong Wu, Le Zhang, Fengran Mo +3
Graph-based models and contrastive learning have emerged as prominent methods in Collaborative Filtering (CF). While many existing models in CF incorporate these methods in their d…
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
Junkai Li, Yunghwei Lai, Weitao Li +8
The recent rapid development of large language models (LLMs) has sparked a new wave of technological revolution in medical artificial intelligence (AI). While LLMs are designed to…
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao +2
Tactile signals collected by wearable electronics are essential in modeling and understanding human behavior. One of the main applications of tactile signals is action classificati…
Citation-Enhanced Generation for LLM-based Chatbots
Weitao Li, Junkai Li, Weizhi Ma +1
Large language models (LLMs) exhibit powerful general intelligence across diverse scenarios, including their integration into chatbots. However, a vital challenge of LLM-based chat…