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 88 篇，第 1 / 2 页

1. ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
2. ICML 2024A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
3. ICML 2024Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
4. ICML 2024Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
5. ICML 2024Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
6. ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
7. ICML 2024ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
8. ICML 2024Asymptotics of feature learning in two-layer networks after one gradient-step
9. ICML 2024BAGEL: Bootstrapping Agents by Guiding Exploration with Language
10. ICML 2024Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
11. ICML 2024Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
12. ICML 2024CHAI: Clustered Head Attention for Efficient LLM Inference
13. ICML 2024Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
14. ICML 2024Collage: Light-Weight Low-Precision Strategy for LLM Training
15. ICML 2024CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
16. ICML 2024Configurable Mirror Descent: Towards a Unification of Decision Making
17. ICML 2024Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
18. ICML 2024Detecting Influence Structures in Multi-Agent Reinforcement Learning
19. ICML 2024diff History for Neural Language Agents
20. ICML 2024Disentanglement Learning via Topology
21. ICML 2024Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements
22. ICML 2024DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
23. ICML 2024Dynamic Evaluation of Large Language Models by Meta Probing Agents
24. ICML 2024EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
25. ICML 2024Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning
26. ICML 2024Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
27. ICML 2024Embodied CoT Distillation From LLM To Off-the-shelf Agents
28. ICML 2024Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
29. ICML 2024Executable Code Actions Elicit Better LLM Agents
30. ICML 2024Fair Federated Learning via the Proportional Veto Core
31. ICML 2024Fast Peer Adaptation with Context-aware Exploration
32. ICML 2024Federated Combinatorial Multi-Agent Multi-Armed Bandits
33. ICML 2024Feedback Loops With Language Models Drive In-Context Reward Hacking
34. ICML 2024FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
35. ICML 2024From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
36. ICML 2024Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes
37. ICML 2024GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
38. ICML 2024GPT-4V(ision) is a Generalist Web Agent, if Grounded
39. ICML 2024GPTSwarm: Language Agents as Optimizable Graphs
40. ICML 2024HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
41. ICML 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
42. ICML 2024Impact of Decentralized Learning on Player Utilities in Stackelberg Games
43. ICML 2024Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
44. ICML 2024Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
45. ICML 2024InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
46. ICML 2024LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
47. ICML 2024Language-guided Skill Learning with Temporal Variational Inference
48. ICML 2024Learning Associative Memories with Gradient Descent
49. ICML 2024Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
50. ICML 2024Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies

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。