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 76 篇，第 1 / 2 页

1. NeurIPS 2023AdaPlanner: Adaptive Planning from Feedback with Language Models
2. NeurIPS 2023AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation
3. NeurIPS 2023Alexa Arena: A User-Centric Interactive Platform for Embodied AI
4. NeurIPS 2023AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems
5. NeurIPS 2023AndroidInTheWild: A Large-Scale Dataset For Android Device Control
6. NeurIPS 2023Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
7. NeurIPS 2023Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
8. NeurIPS 2023AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
9. NeurIPS 2023BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks
10. NeurIPS 2023BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series
11. NeurIPS 2023BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
12. NeurIPS 2023Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
13. NeurIPS 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
14. NeurIPS 2023Collaboratively Learning Linear Models with Structured Missing Data
15. NeurIPS 2023Combinatorial Group Testing with Selfish Agents
16. NeurIPS 2023Cross-Episodic Curriculum for Transformer Agents
17. NeurIPS 2023De novo Drug Design using Reinforcement Learning with Multiple GPT Agents
18. NeurIPS 2023Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
19. NeurIPS 2023Diverse Conventions for Human-AI Collaboration
20. NeurIPS 2023Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion
21. NeurIPS 2023Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
22. NeurIPS 2023Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
23. NeurIPS 2023Emergent Communication for Rules Reasoning
24. NeurIPS 2023Emergent Communication in Interactive Sketch Question Answering
25. NeurIPS 2023Explainable and Efficient Randomized Voting Rules
26. NeurIPS 2023Exponential Lower Bounds for Fictitious Play in Potential Games
27. NeurIPS 2023Fair Allocation of Indivisible Chores: Beyond Additive Costs
28. NeurIPS 2023FIND: A Function Description Benchmark for Evaluating Interpretability Methods
29. NeurIPS 2023Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
30. NeurIPS 2023Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
31. NeurIPS 2023Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability
32. NeurIPS 2023Hierarchical Multi-Agent Skill Discovery
33. NeurIPS 2023Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do
34. NeurIPS 2023History Filtering in Imperfect Information Games: Algorithms and Complexity
35. NeurIPS 2023Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
36. NeurIPS 2023Honesty Is the Best Policy: Defining and Mitigating AI Deception
37. NeurIPS 2023How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception
38. NeurIPS 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
39. NeurIPS 2023IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
40. NeurIPS 2023Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
41. NeurIPS 2023Large Language Models Are Semi-Parametric Reinforcement Learning Agents
42. NeurIPS 2023Learning to Influence Human Behavior with Offline Reinforcement Learning
43. NeurIPS 2023Lending Interaction Wings to Recommender Systems with Conversational Agents
44. NeurIPS 2023MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
45. NeurIPS 2023Mind2Web: Towards a Generalist Agent for the Web
46. NeurIPS 2023Multi-Agent First Order Constrained Optimization in Policy Space
47. NeurIPS 2023Multi-Agent Learning with Heterogeneous Linear Contextual Bandits
48. NeurIPS 2023Natural Language Instruction-following with Task-related Language Development and Translation
49. NeurIPS 2023OKRidge: Scalable Optimal k-Sparse Ridge Regression
50. NeurIPS 2023OpenAGI: When LLM Meets Domain Experts

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。