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= The 1st International Workshop on LLM-Driven Agents =
== - Unleashing the Power of LLM-Driven Agents: from Theory to Real-World Applications ==

== 1. Motivation and Scope ==
Large Language Models (LLMs) have evolved from powerful text generators to autonomous agents capable of decision-making, tool use, and complex task execution. The emergence of LLM-driven agents represents a paradigm shift in AI—where foundation models serve not just as passive engines but as interactive, goal-directed systems.
Despite exciting progress, fundamental theoretical challenges remain: What are the formal models of LLM-driven agency? How can we ensure safety, alignment, planning consistency, and memory grounding? Moreover, the transition from lab settings to real-world applications in domains like software engineering, healthcare, education, and robotics raises additional questions about robustness, deployment, evaluation, and cost-efficiency.

This workshop aims to bridge the gap between theory and practice by uniting researchers and practitioners working on various aspects of LLM-driven agents.

== 2. Topics of Interest (including but not limited to) ==
 * Formal models of agentic behavior in LLMs
 * Planning, reasoning, and memory in agent systems
 * Safety, alignment, and interpretability of LLM agents
 * Evaluation benchmarks and metrics for agentic performance
 * Resource efficiency and deployment challenges
 * Multi-agent collaboration and communication
 * Human-AI collaboration
 * Multi-modal and embodied LLM agents
 * Tool-augmented and API-enabled agents
 * Agentic applications

== 3. Target Audience ==
 * Researchers in LLM, NLP, ML, cognitive modeling, robotics
 * Developers and practitioners working on agent frameworks (e.g., {{{LangChain, AutoGen, CrewAI}}})
 * Professionals deploying LLM-driven systems in real-world environments
 * Scholars interested in the theoretical underpinnings of LLM agency

== 4. Format and Schedule ==
We propose a full-day workshop consisting of
 * Invited talks from leading academics and industry experts. Topics will cover:
  * Agentic architectures for reasoning and planning
  * Theoretical foundations of agency in LLMs
  * Applications and deployment lessons from real-world systems
  * Challenges in alignment, safety, and evaluation
 * Paper presentations (oral sessions)
 * Panel Discussion
A moderated panel titled "From Prompt to Plan: What Makes an LLM Truly Agentic?" will gather thought leaders to debate the definition, limits, and future directions of agentic intelligence.

== 5. Submission and Review ==
 * Submission via {{{EasyChair / OpenReview}}}
 * Double-blind review with a diverse Program Committee
 * Accepted papers will be published in workshop proceedings and optionally uploaded to arXiv
 * Papers should not exceed 12 pages single spacing in (LNCS (Lecture Notes in Computer Science) format). The submission of papers must be in either PDF or Word format.

== 6. Invited Speakers (Tentative) ==

== 7. Organizers ==
 * Prof. Yong Zhang, Tsinghua University, zhangyong05@tsinghua.edu.cn
 * Prof. Bohan Li, Nanjing University of Aeronautics and Astronautics, bhli@nuaa.edu.cn
 * Prof. Chun Zeng, Henan University, zengchun@tsinghua.org.cn
 * Prof. Guigang Zhang, Institute of Automation (CAS), guigang.zhang@ia.ac.cn
 * Prof. Yuxi Zhou, Tianjin University of Technology, joy_yuxi@pku.edu.cn

== 8. Contact Person ==
Xin Wei (Andrew), xwei@tsinghua.edu.cn

Submission Deadline: 31 July, 2025.