Software engineering is a domain characterized by intricate decision-making processes,
often relying on nuanced intuition and consultation. Recent advancements in deep learning …

Software development is a complex task that necessitates cooperation among multiple
members with diverse skills. Numerous studies used deep learning to improve specific …

Large language models (LLMs) have empowered intelligent agents to execute intricate
tasks within domain-specific software such as browsers and games. However, when applied …

Building a generalist model for user interface (UI) understanding is challenging due to
various foundational issues, such as platform diversity, resolution variation, and data …

The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has
led to a closer connection between NLP and human psychology. Scholars have been …

Recent studies show that collaborating multiple large language model (LLM) powered
agents is a promising way for task solving. However, current approaches are constrained by …

Performing tasks on the web presents fundamental challenges to large language models
(LLMs), including combinatorially large open-world tasks and variations across web …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

Recent advancements in large language model (LLM)-based agents have demonstrated
that collective intelligence can significantly surpass the capabilities of individual agents …

Recently, there has been a growing interest among large language model (LLM) developers
in LLM-based document reading systems, which enable users to upload their own …