AI 智能体论文趋势 2023–2026
工具调用、多步决策与自主 LLM/VLM 智能体系统
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,266 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 76 | 40 | 41 | 13 | 170 |
| 2024 | 150 | 73 | 88 | 18 | 329 |
| 2025 | 362 | 204 | 178 | 40 | 784 |
| 2026 | 729 | 500 | 640 | 114 | 1,983 |
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 784 篇，第 12 / 16 页
- NeurIPS 2025GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning
- NeurIPS 2025GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
- NeurIPS 2025GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
- NeurIPS 2025HeavyWater and SimplexWater: Distortion-free LLM Watermarks for Low-Entropy Distributions
- NeurIPS 2025Heterogeneous Graph Transformers for Simultaneous Mobile Multi-Robot Task Allocation and Scheduling under Temporal Constraints
- NeurIPS 2025Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
- NeurIPS 2025Hi3DEval: Advancing 3D Generation Evaluation with Hierarchical Validity
- NeurIPS 2025High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning
- NeurIPS 2025HMARL-CBF – Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
- NeurIPS 2025How to Train Your LLM Web Agent: A Statistical Diagnosis
- NeurIPS 2025Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
- NeurIPS 2025HyperMARL: Adaptive Hypernetworks for Multi-Agent RL
- NeurIPS 2025HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
- NeurIPS 2025Impartial Selection with Predictions
- NeurIPS 2025Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
- NeurIPS 2025In-Context Fully Decentralized Cooperative Multi-Agent Reinforcement Learning
- NeurIPS 2025In-context Learning of Linear Dynamical Systems with Transformers: Approximation Bounds and Depth-separation
- NeurIPS 2025Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
- NeurIPS 2025Individual Regret in Cooperative Stochastic Multi-Armed Bandits
- NeurIPS 2025InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
- NeurIPS 2025Information Retrieval Induced Safety Degradation in AI Agents
- NeurIPS 2025InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
- NeurIPS 2025InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback
- NeurIPS 2025IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering
- NeurIPS 2025Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
- NeurIPS 2025Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
- NeurIPS 2025JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
- NeurIPS 2025KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
- NeurIPS 2025Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
- NeurIPS 2025Kinaema: a recurrent sequence model for memory and pose in motion
- NeurIPS 2025Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation
- NeurIPS 2025KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
- NeurIPS 2025KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows
- NeurIPS 2025LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents
- NeurIPS 2025Language Modeling by Language Models
- NeurIPS 2025Language Models can Self-Improve at State-Value Estimation for Better Search
- NeurIPS 2025Language Ranker: A Lightweight Ranking framework for LLM Decoding
- NeurIPS 2025Large Language Models Miss the Multi-agent Mark
- NeurIPS 2025LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs
- NeurIPS 2025LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration
- NeurIPS 2025LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
- NeurIPS 2025Learning “Partner-Aware” Collaborators in Multi-Party Collaboration
- NeurIPS 2025Learning and Planning Multi-Agent Tasks via an MoE-based World Model
- NeurIPS 2025Learning Equilibria from Data: Provably Efficient Multi-Agent Imitation Learning
- NeurIPS 2025Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
- NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
- NeurIPS 2025Learning to Control Free-Form Soft Swimmers
- NeurIPS 2025Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
- NeurIPS 2025Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- NeurIPS 2025Let the LLM Stick to Its Strengths: Learning to Route Economical LLM
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查AI 智能体在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "ai-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。