Research Institutions and Conferences
Overview
AI Agent research spans multiple interdisciplinary fields, with top global research institutions and academic conferences playing key roles in advancing the field. This section surveys major research institutions, important conferences, and key researchers.
Top Research Institutions
North America
| Institution |
Affiliation |
Research Focus |
Representative Work |
| Stanford HAI |
Stanford University |
AI governance, Agent safety |
Generative Agents |
| Berkeley BAIR |
UC Berkeley |
Foundational research, Robotics |
RLHF, Gorilla |
| Princeton NLP |
Princeton University |
NLP, Agents |
SWE-Agent, SWE-bench |
| CMU LTI |
Carnegie Mellon |
Language Technology |
WebArena |
| MIT CSAIL |
MIT |
AI Systems |
Multi-agent systems |
Industrial Research Labs
| Lab |
Company |
Research Focus |
Representative Work |
| OpenAI Research |
OpenAI |
General AI, Agents |
GPT series, Operator |
| Anthropic Research |
Anthropic |
AI Safety, Alignment |
Constitutional AI, MCP |
| Google DeepMind |
Google |
Foundational research |
Gemini, AlphaCode |
| Meta FAIR |
Meta |
Open-source AI research |
Llama, Toolformer |
| Microsoft Research |
Microsoft |
Multi-agent systems |
AutoGen, TaskWeaver |
China
| Institution |
Research Focus |
Representative Work |
| Tsinghua University |
Agent evaluation, NLP |
AgentBench, ChatGLM |
| Peking University |
Agent frameworks, Reasoning |
AgentVerse |
| CAS Institute of Automation |
Intelligent systems |
Multi-agent collaboration |
| Zhejiang University |
Knowledge graphs, NLP |
Agent applications |
| Zhipu AI |
Large models, Agents |
GLM series, AutoGLM |
Stanford HAI
Stanford Human-Centered AI Institute's contributions to the agent field:
- Generative Agents (Park et al., 2023): 25 AI agents living in a virtual town
- HELM: Comprehensive language model evaluation
- AI Index Report: Annual AI development report
- AI safety research: Agent safety and alignment
Berkeley BAIR
Berkeley Artificial Intelligence Research:
- RLHF/DPO: Alignment methods impacting agent training
- Gorilla: Tool-using LLM
- LLM Agent Survey: Systematic survey
- Robotic agents: Agents in the physical world
Important Academic Conferences
Top Conferences
| Conference |
Full Name |
Frequency |
Agent Relevance |
| NeurIPS |
Neural Information Processing Systems |
Annual |
High |
| ICML |
International Conference on Machine Learning |
Annual |
High |
| ICLR |
International Conference on Learning Representations |
Annual |
High |
| AAAI |
Association for the Advancement of AI |
Annual |
High |
| ACL |
Association for Computational Linguistics |
Annual |
Medium-High |
| EMNLP |
Empirical Methods in NLP |
Annual |
Medium-High |
Agent-Specific Conferences/Workshops
| Conference/Workshop |
Description |
| AAMAS |
International Conference on Autonomous Agents and Multi-Agent Systems |
| Agent Workshop @ NeurIPS |
Agent-themed workshop at NeurIPS |
| LLM Agents Workshop |
Workshop focused on LLM agents |
| SoLaR @ NeurIPS |
Socially Responsible Language Modelling |
AAMAS
AAMAS is the flagship conference for agents and multi-agent systems:
- History: Established in 2002, merged from multiple agent-related conferences
- Scope: Theory, methods, applications
- Topics: Multi-agent systems, game theory, social simulation, agent communication
- LLM Agents: Significant increase in LLM agent papers in recent years
NeurIPS/ICML Agent Workshops
Recent agent-related workshops:
| Year |
Workshop |
Main Topics |
| 2023 |
Foundation Models for Decision Making |
LLMs as decision-making agents |
| 2024 |
LLM Agents |
Agent architectures, evaluation, safety |
| 2024 |
Open-World Agents |
Agents in open-world environments |
| 2025 |
Agentic AI |
Frontiers of agent systems |
Key Researchers
Agent Architecture and Systems
| Researcher |
Institution |
Major Contributions |
| Shunyu Yao |
Princeton→OpenAI |
ReAct, Tree-of-Thoughts |
| Joon Sung Park |
Stanford |
Generative Agents |
| Harrison Chase |
LangChain |
LangChain/LangGraph framework |
| Chi Wang |
Microsoft Research |
AutoGen |
| Xinyun Chen |
Google DeepMind |
Agent evaluation |
Agent Safety and Alignment
| Researcher |
Institution |
Major Contributions |
| Yarin Gal |
Oxford |
Uncertainty estimation |
| Jacob Steinhardt |
UC Berkeley |
AI safety |
| Dan Hendrycks |
CAIS |
Safety evaluation benchmarks |
Multi-Agent Systems
| Researcher |
Institution |
Major Contributions |
| Michael Wooldridge |
Oxford |
Multi-agent systems theory |
| Tuomas Sandholm |
CMU |
Game theory, multi-agent |
| Qian Liu |
Tsinghua |
AgentBench |
Key Paper Roadmap
2023-2025 Key Papers
graph TD
A[2023.03 ReAct] --> B[2023.04 Toolformer]
B --> C[2023.08 Generative Agents]
C --> D[2023.10 AgentBench]
D --> E[2024.01 WebVoyager]
E --> F[2024.04 SWE-Agent]
F --> G[2024.06 MCP]
G --> H[2024.10 Claude Computer Use]
H --> I[2025 Agent Protocols]
style A fill:#e3f2fd
style I fill:#e8f5e9
Research Trends
Hot Directions
- Agent safety and alignment: Preventing agents from producing harmful behavior
- Multi-agent collaboration: Efficient communication and collaboration between agents
- Agent evaluation: Standardized evaluation methods and benchmarks
- Agent efficiency: Reducing inference cost and latency
- Physical world agents: Robotics and embodied intelligence
Open Questions
- Long-term goal tracking capabilities for agents
- How agents can continuously learn from experience
- Emergent behavior in multi-agent systems
- Formal verification of agent safety
- Effective collaboration modes between humans and agents
References
- Stanford HAI. "AI Index Report 2024." 2024.
- AAMAS. "International Conference on Autonomous Agents and Multi-Agent Systems." Annual.
- Yao, S., et al. "ReAct: Synergizing Reasoning and Acting in Language Models." ICLR 2023.
- Park, J. S., et al. "Generative Agents: Interactive Simulacra of Human Behavior." UIST 2023.
Cross-references:
- Key papers → Key Conferences and Papers
- Agent survey → What Is an AI Agent