Humans possess an extraordinary ability to create and utilize tools. With the advent of
foundation models, artificial intelligence systems have the potential to be equally adept in …

Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems
designed to pursue complex goals with minimal human intervention. Unlike traditional AI …

Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

Recent methodologies in LLM self-training mostly rely on LLM generating responses and
filtering those with correct output answers as training data. This approach often yields a low …

Closed-source agents suffer from several issues such as a lack of affordability, transparency,
and reproducibility, particularly on complex interactive tasks. This motivates the …

Autonomous agents capable of planning, reasoning, and executing actions on the web offer
a promising avenue for automating computer tasks. However, the majority of existing …

We introduce Lumos, a novel framework for training language agents that employs a unified
data format and a modular architecture based on open-source large language models …

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

The advancement of function-calling agent models requires diverse, reliable, and high-
quality datasets. This paper presents APIGen, an automated data generation pipeline …

As Large Language Models (LLMs) have shown significant intelligence, the progress to
leverage LLMs as planning modules of autonomous agents has attracted more attention …