2 citations · 2 across the 2 of their papers we have counts for
5 papers
Vector Retrieval with Similarity and Diversity: How Hard Is It?
Hang Gao, Dong Deng, Yongfeng Zhang
Dense vector retrieval is an important building block of modern machine learning systems, underlying applications ranging from semantic search to retrieval-augmented generation and…
INMS: Memory Sharing for Large Language Model based Agents
Hang Gao, Yongfeng Zhang
While Large Language Model (LLM) based agents excel at complex tasks, their performance in open-ended scenarios is often constrained by isolated operation and reliance on static da…
Task-Aligned Tool Recommendation for Large Language Models
Hang Gao, Yongfeng Zhang
By augmenting Large Language Models (LLMs) with external tools, their capacity to solve complex problems has been significantly enhanced. However, despite ongoing advancements in t…
LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS
Kai Mei, Xi Zhu, Hang Gao +2
We present AIOS 1.0, a novel platform designed to advance computer-use agent (CUA) capabilities through environmental contextualization. While existing approaches primarily focus o…
A-MEM: Agentic Memory for LLM Agents
Wujiang Xu, Zujie Liang, Kai Mei +3
While large language model (LLM) agents can effectively use external tools for complex real-world tasks, they require memory systems to leverage historical experiences. Current mem…