3 citations · 3 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.AI2024★ 3 cited
Practical Considerations for Agentic LLM Systems
Chris Sypherd, Vaishak Belle
As the strength of Large Language Models (LLMs) has grown over recent years, so too has interest in their use as the underlying models for autonomous agents. Although LLMs demonstr…
cs.CL2024
Probing the Capacity of Language Model Agents to Operationalize Disparate Experiential Context Despite Distraction
Sonny George, Chris Sypherd, Dylan Cashman
Large language model (LLM) agents show promise in an increasing number of domains. In many proposed applications, it is expected that the agent reasons over accumulated experience…