Project Title

LLM-Agent-Paper-List — Comprehensive Survey and Resource Repository for Large Language Model-Based Agents

Overview

LLM-Agent-Paper-List is a curated collection of essential papers on the rise and potential of large language model (LLM) based agents. This repository serves as a systematic and comprehensive survey, providing a valuable resource for researchers and developers interested in AI agents, their applications, and the challenges they face. It stands out for its focus on LLM-based agents, offering a structured approach to understanding their development and potential.

Key Features

Curated List of Must-Read Papers: A collection of seminal works in the field of LLM-based agents.
Systematic Survey: Offers a structured overview of the conceptual framework, applications, and open problems in LLM-based agents.
Up-to-Date Information: Regularly updated with the latest research and developments in the field.

Use Cases

Researchers: Use the repository to stay current with the latest research in LLM-based agents and to find foundational papers for their studies.
Developers: Leverage the survey to understand the technical aspects and applications of LLM-based agents for building intelligent systems.
Educators: Utilize the paper list as a reference for course materials on AI and agent-based systems.

Advantages

Comprehensive Coverage: Provides a wide range of papers covering various aspects of LLM-based agents.
Structured Approach: Organizes the material in a way that is easy to follow and understand.
Community Engagement: Encourages collaboration and discussion through GitHub interactions.

Limitations / Considerations

License Information: The license type is currently unknown, which may affect how the content can be used or modified.
Ongoing Updates: The repository relies on community contributions to stay current, which may lead to delays in updating the list.

AgentGym: A platform for developing and evolving LLM-based agents across diverse environments, offering both a project page and GitHub repository.
LLM-Reverse-Curriculum-RL: A project focused on training large language models for reasoning through reverse curriculum reinforcement learning, with a GitHub repository for code.
R3: A paper and project on training large language models for reasoning, accepted at ICML 2024, with a focus on reinforcement learning.

Basic Information

GitHub: https://github.com/WooooDyy/LLM-Agent-Paper-List
Stars: 7,904
License: Unknown
Last Commit: 2025-10-10

📊 Project Information

Project Name: LLM-Agent-Paper-List
GitHub URL: https://github.com/WooooDyy/LLM-Agent-Paper-List
Programming Language: Unknown
⭐ Stars: 7,904
🍴 Forks: 479
📅 Created: 2023-09-12
🔄 Last Updated: 2025-10-10

🏷️ Project Topics

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📚 Documentation

here

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LLM-Agent-Paper-List

Project Description