A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
A graph is a fundamental data model to represent various entities and their
complex relationships in society and nature, such as social networks,
transportation networks, financial...
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
The rise of large language models (LLMs) has enabled LLM-based applications
(a.k.a. AI agents or co-pilots), a new software paradigm that combines the
strength of LLM...
Large Language Models as Software Components: A Taxonomy for LLM-Integrated Applications
Large Language Models (LLMs) have become widely adopted recently. Research
explores their use both as autonomous agents and as tools for software
engineering. LLM-integrated applications, on...
What Limits LLM-based Human Simulation: LLMs or Our Design?
We argue that advancing LLM-based human simulation requires addressing both
LLM's inherent limitations and simulation framework design challenges. Recent
studies have revealed significant gaps between LLM-based...
Trustworthy and Efficient LLMs Meet Databases
In the rapidly evolving AI era with large language models (LLMs) at the core,
making LLMs more trustworthy and efficient, especially in output generation
(inference), has...
