Large language models (LLMs) are not amenable to frequent re-training, due to high
training costs arising from their massive scale. However, updates are necessary to endow …

Recently, tool learning with large language models (LLMs) has emerged as a promising
paradigm for augmenting the capabilities of LLMs to tackle highly complex problems …

Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …

Large Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-
SQL task, significantly outperforming traditional methods. Nevertheless, as a nascent …

The remarkable progress in Large Language Models (LLMs) opens up new avenues for
addressing planning and decision-making problems in Multi-Agent Systems (MAS) …

In recent developments within the research community, the integration of Large Language
Models (LLMs) in creating fully autonomous agents has garnered significant interest …

In the rapidly evolving domain of artificial intelligence, Large Language Models (LLMs) play
a crucial role due to their advanced text processing and generation abilities. This study …

The rapid progress of foundation models has led to the prosperity of autonomous agents,
which leverage the universal capabilities of foundation models to conduct reasoning …

Numerous methods have been proposed to detect, estimate, and analyze properties of
people in images, including the estimation of 3D pose, shape, contact, human-object …

Foundation models, such as large language models (LLMs), have been widely recognised
as transformative AI technologies due to their capabilities to understand and generate …