Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

This technical report presents AutoGen, a new framework that enables development of LLM
applications using multiple agents that can converse with each other to solve tasks. AutoGen …

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

Mathematical reasoning serves as a cornerstone for assessing the fundamental cognitive
capabilities of human intelligence. In recent times, there has been a notable surge in the …

Although large language models (LLMs) have achieved excellent performance in a variety
of evaluation benchmarks, they still struggle in complex reasoning tasks which require …

Advancing the Search Frontier with AI Agents | Communications of the ACM skip to main
content ACM Digital Library home ACM Association for Computing Machinery corporate …

In this perspective paper, we first comprehensively review existing evaluations of Large
Language Models (LLMs) using both standardized tests and ability-oriented benchmarks …

In recent years, groundbreaking advancements in natural language processing have
culminated in the emergence of powerful large language models (LLMs), which have …

Researchers and practitioners have recently reframed powerful Large Language Models
(LLMs) as agents, enabling them to automate complex tasks largely via the use of …

Despite their success in many natural language tasks, solving math problems remains a
significant challenge for large language models (LLMs). A large gap exists between LLMs' …