Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Generative artificial intelligence (GenAI) holds the potential to transform the delivery,
cultivation and evaluation of human learning. Here the authors examine the integration of …

We are witnessing a novel era of creativity where anyone can create digital content via
prompt-based learning (known as prompt engineering). This article investigates prompt …

Collective intelligence underpins the success of groups, organizations, markets and
societies. Through distributed cognition and coordination, collectives can achieve outcomes …

Transformer neural networks show promising capabilities, in particular for uses in materials
analysis, design, and manufacturing, including their capacity to work effectively with human …

Large language models (LLMs) have been employed in various intelligent educational tasks
to assist teaching. While preliminary explorations have focused on independent LLM …

Mobile device operation tasks are increasingly becoming a popular multi-modal AI
application scenario. Current Multi-modal Large Language Models (MLLMs), constrained by …

Designing de novo proteins beyond those found in nature holds significant promise for
advancements in both scientific and engineering applications. Current methodologies for …

This paper investigates the voting behaviors of Large Language Models (LLMs), specifically
GPT-4 and LLaMA-2, their biases, and how they align with human voting patterns. Our …

Synthetic data is becoming increasingly important for accelerating the development of
language models, both large and small. Despite several successful use cases, researchers …