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 …

The emergence of large language models (LLMs) has revolutionized the way we interact
with graphs, leading to a new paradigm called GraphLLM. Despite the rapid development of …

Retrieval-augmented generation (RAG) is a powerful technique that enhances downstream
task execution by retrieving additional information, such as knowledge, skills, and tools from …

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have
emerged as a transformative approach to automating human-computer interaction. These …

Benchmarking the capabilities and limitations of large language models (LLMs) in graph-
related tasks is becoming an increasingly popular and crucial area of research. Recent …

Large Language Models (LLMs) have achieved great success in various reasoning tasks. In
this work, we focus on the graph reasoning ability of LLMs. Although theoretical studies …