2 citations · 2 across the 4 of their papers we have counts for
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cs.CL2025
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…
cs.CL2024
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…
cs.CL2024★ 2 cited
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…