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 947 篇，第 1 / 19 页

1. ICML 2026*MemPot*: Defend Against Memory Extraction Attack with Optimized Honeypots
2. ICML 2026$\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
3. ICML 2026$\tau$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
4. ICML 2026$\tau$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
5. ICML 2026$\texttt{Multi}^2$: Hierarchical Multi-Agent Decision-Making with LLM-Based Agents in Interactive Environments
6. ICML 2026$R^3$DAO: Reactive Recovery and Reconstruction for Long-horizon Data Agent Orchestration
7. ICML 20263DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis
8. ICML 2026A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
9. ICML 2026A Diagnostic Study of Multi-Agent LLMs for Real-World Debates
10. ICML 2026A Geometric Analysis of Small-sized Language Model Hallucinations
11. ICML 2026A Minimal Agent for Automated Theorem Proving
12. ICML 2026A New Framework for Cybersecurity Refusals in AI Agents
13. ICML 2026A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
14. ICML 2026A Probabilistic Framework for LLM-Based Model Discovery
15. ICML 2026A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
16. ICML 2026A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
17. ICML 2026A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems
18. ICML 2026A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
19. ICML 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
20. ICML 2026ABSINT-AI: Agentic Heap Abstractions for Abstract Interpretation
21. ICML 2026ACON: Optimizing Context Compression for Long-horizon LLM Agents
22. ICML 2026Active Exploring like a Pigeon: Reinforcing Spatial Reasoning via Agentic Vision-Language Models
23. ICML 2026AD-MIR: Bridging the Gap from Perception to Persuasion in Advertising Video Understanding via Structured Reasoning
24. ICML 2026AdaMEM: Test-Time Adaptive Memory for Language Agents
25. ICML 2026AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
26. ICML 2026ADEPT: RL-Aligned Agentic Decoding of Emotion via Evidence Probing Tools — From Consensus Learning to Ambiguity-Driven Emotion Reasoning
27. ICML 2026AdvEvo-MARL: Shaping Internalized Safety through Adversarial Co-Evolution in Multi-Agent Reinforcement Learning
28. ICML 2026Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
29. ICML 2026Agent Primitives: Reuseable Latent Building Blocks for Multi-Agent Systems
30. ICML 2026Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
31. ICML 2026Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
32. ICML 2026AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
33. ICML 2026AgentExpt: Automating AI Experiment Design with LLM-based Resource Retrieval Agent
34. ICML 2026AgentHijack: Benchmarking Computer Use Agent Robustness to Common Environment Corruptions
35. ICML 2026Agentic Confidence Calibration
36. ICML 2026Agentic Framework for Epidemiological Modeling
37. ICML 2026Agentic Model Predictive Questioning Control in Visual Design
38. ICML 2026Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents
39. ICML 2026Agentic Proposing: Enhancing Large language Model Reasoning via Compositional Skill Synthesis
40. ICML 2026AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks
41. ICML 2026AgentNoiseBench: Benchmarking Robustness of Tool-Using LLM Agents Under Noisy Condition
42. ICML 2026AgentSelect: Benchmark for Narrative Query-to-Agent Recommendation
43. ICML 2026AgentSteerTTS: A Multi-Agent Closed-Loop Framework for Composite-Instruction Text-to-Speech
44. ICML 2026AgentSuite: Toward More Reliable Agent Evaluation with a Component-Based Benchmark Auditing Pipeline
45. ICML 2026AgentTailor: A Semantic-Aware LLM-Based Multi-Agent System with Actor-Critic Structure
46. ICML 2026AgentVocab: Structure-Aware Vocabulary Adaptation for Efficient LLM Agents
47. ICML 2026AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
48. ICML 2026AgentXRay: White-Boxing Agentic Systems via Workflow Reconstruction
49. ICML 2026Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
50. ICML 2026AIR: Improving Agent Safety through Incident Response

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。