AI 智能体论文趋势 2023–2026

主要结论

• AI 智能体论文从 2023 年的 170 篇增长到 2026 年的 1,983 篇，三年间扩大到约 12 倍。
• NeurIPS 是发AI 智能体论文最多的会议，2023–2026 年共 1,317 篇，占四个会议总量的 40%。
• 交叉方向里涨得最快的是大模型基准：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 116 篇。
• 在「前沿系统」的 4 个主题里，它的 2026 年论文数排第 2；同组增长最快的世界模型是 11 倍，AI 智能体是 12 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026$\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control
• ICML 2026$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
• ICLR 2026A Benchmark for Deep Information Synthesis
• CVPR 20263D-VCD Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive
• NeurIPS 20254KAgent: Agentic Any Image to 4K Super-Resolution
• ICML 2025A Unified Approach to Routing and Cascading for LLMs
• ICLR 2025A Generalist Hanabi Agent
• CVPR 2025Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration
• NeurIPS 2024AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
• ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
• ICLR 2024A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
• CVPR 2024Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction
• NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
• ICML 2023A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
• ICLR 2023Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
• CVPR 2023Behavioral Analysis of Vision-and-Language Navigation Agents
• NeurIPS 20262-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
• ICML 2026$\tau$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
• ICLR 2026A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
• CVPR 2026A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning

全部AI 智能体论文

共 178 篇，第 1 / 4 页

1. ICML 2025A Theoretical Justification for Asymmetric Actor-Critic Algorithms
2. ICML 2025A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
3. ICML 2025A Unified Approach to Routing and Cascading for LLMs
4. ICML 2025Ad Hoc Teamwork via Offline Goal-Based Decision Transformers
5. ICML 2025Ad-Hoc Human-AI Coordination Challenge
6. ICML 2025Adaptive Sample Sharing for Multi Agent Linear Bandits
7. ICML 2025Adaptive Self-improvement LLM Agentic System for ML Library Development
8. ICML 2025AdvAgent: Controllable Blackbox Red-teaming on Web Agents
9. ICML 2025Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
10. ICML 2025Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review
11. ICML 2025Agent Workflow Memory
12. ICML 2025Agent-as-a-Judge: Evaluate Agents with Agents
13. ICML 2025Agent-Centric Actor-Critic for Asynchronous Multi-Agent Reinforcement Learning
14. ICML 2025Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
15. ICML 2025AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
16. ICML 2025Aligning LLMs by Predicting Preferences from User Writing Samples
17. ICML 2025Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?
18. ICML 2025AssistanceZero: Scalably Solving Assistance Games
19. ICML 2025AutoAdvExBench: Benchmarking Autonomous Exploitation of Adversarial Example Defenses
20. ICML 2025Automated Benchmark Generation for Repository-Level Coding Tasks
21. ICML 2025Automated Hypothesis Validation with Agentic Sequential Falsifications
22. ICML 2025Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
23. ICML 2025AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
24. ICML 2025Behavioral Exploration: Learning to Explore via In-Context Adaptation
25. ICML 2025Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
26. ICML 2025Boosting Virtual Agent Learning and Reasoning: A Step-Wise, Multi-Dimensional, and Generalist Reward Model with Benchmark
27. ICML 2025Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
28. ICML 2025BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
29. ICML 2025C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
30. ICML 2025Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
31. ICML 2025Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
32. ICML 2025Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction
33. ICML 2025CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
34. ICML 2025Communicating Activations Between Language Model Agents
35. ICML 2025Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
36. ICML 2025Continuously Updating Digital Twins using Large Language Models
37. ICML 2025Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning
38. ICML 2025Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making
39. ICML 2025Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems
40. ICML 2025Cradle: Empowering Foundation Agents towards General Computer Control
41. ICML 2025Craftium: Bridging Flexibility and Efficiency for Rich 3D Single- and Multi-Agent Environments
42. ICML 2025Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
43. ICML 2025CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities
44. ICML 2025Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
45. ICML 2025Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
46. ICML 2025DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
47. ICML 2025Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping
48. ICML 2025Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
49. ICML 2025Efficient Robotic Policy Learning via Latent Space Backward Planning
50. ICML 2025EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

常见问题

2023–2026 年四大会议一共有多少篇AI 智能体论文？

共 3,266 篇，按年份分别是 2023 年 170 篇、2024 年 329 篇、2025 年 784 篇、2026 年 1,983 篇。

NeurIPS 2026 有多少篇AI 智能体论文？

NeurIPS 2026 有 729 篇AI 智能体论文，上一届是 362 篇。

ICLR 2026 有多少篇AI 智能体论文？

ICLR 2026 有 500 篇AI 智能体论文，上一届是 204 篇。

ICML 2026 有多少篇AI 智能体论文？

ICML 2026 有 640 篇AI 智能体论文，上一届是 178 篇。

CVPR 2026 有多少篇AI 智能体论文？

CVPR 2026 有 114 篇AI 智能体论文，上一届是 40 篇。

哪个会议的AI 智能体论文最多？

NeurIPS，2023–2026 年共 1,317 篇。