Skip to main content
Daoyu Wang on Muck Rack

Daoyu Wang

As seen in: Wiley Online Library
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Daoyu

Contact Daoyu, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Computer Science > Computation and Language

|
By Shuo Yu, Daoyu Wang, Qingchuan Li
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (678) Issue with article?

A Comprehensive Survey of the LLM-Based Agent: The Contextual Cognition Perspective

|
By Mingyue Cheng, Daoyu Wang, Shuo Yu
| preprints.org
You are already at the latest version Large language model (LLM)-based agents have given rise to phenomenal applications (e.g., OpenClaw, Claude Code), transitioning from fixed text processing to complex task execution. However, most existing works conceptualize the LLM-based agent by decomposing the whole system into modules such as planning, action, reflection, and memory, thereby lacking a unified perspective to explain the emergence of agentic intelligence.
Open in Who Shared Issue with article?

Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis

|
By Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (452) Issue with article?
See all 4 articles