54 citations · 54 across the 3 of their papers we have counts for
3 papers
Toward a Theory of Hierarchical Memory for Language Agents
Yashar Talebirad, Ali Parsaee, Csongor Y. Szepesvari +2
Many recent long-context and agentic systems address context-length limitations by adding hierarchical memory: they extract atomic units from raw data, build multi-level representa…
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms
Ali Parsaee, Yashar Talebirad, Csongor Szepesvári +2
Large Language Models (LLMs) are increasingly being utilized as autonomous agents, yet their ability to coordinate in distributed systems remains poorly understood. We introduce \t…
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Yashar Talebirad, Amirhossein Nadiri
In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems. Our framework introduces…