3 citations · 6 across the 7 of their papers we have counts for
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cs.MA2024
A Multi-LLM Orchestration Engine for Personalized, Context-Rich Assistance
Sumedh Rasal
In recent years, large language models have demonstrated remarkable capabilities in natural language understanding and generation. However, these models often struggle with halluci…
cs.MA2024★ 2 cited
Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs
Sumedh Rasal, E. J. Hauer
Large Language Models (LLMs) have demonstrated remarkable capabilities in solving various tasks, yet they often struggle with comprehensively addressing complex and vague problems.…
cs.MA2024★ 3 cited
LLM Harmony: Multi-Agent Communication for Problem Solving
Sumedh Rasal
Large Language Models (LLMs) have revolutionized Natural Language Processing but exhibit limitations, particularly in autonomously addressing novel challenges such as reasoning and…