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 817 篇，第 15 / 17 页
- ICLR 2025WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning
- ICLR 2025When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings
- ICLR 2025When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
- ICLR 2025WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
- ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
- ICLR 2024A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
- ICLR 2024Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
- ICLR 2024AgentBench: Evaluating LLMs as Agents
- ICLR 2024AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
- ICLR 2024An LLM can Fool Itself: A Prompt-Based Adversarial Attack
- ICLR 2024Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
- ICLR 2024Building Cooperative Embodied Agents Modularly with Large Language Models
- ICLR 2024Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
- ICLR 2024Can LLM-Generated Misinformation Be Detected?
- ICLR 2024Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
- ICLR 2024Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
- ICLR 2024ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
- ICLR 2024CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
- ICLR 2024Copula Conformal prediction for multi-step time series prediction
- ICLR 2024Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
- ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
- ICLR 2024Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
- ICLR 2024Efficient Multi-agent Reinforcement Learning by Planning
- ICLR 2024Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
- ICLR 2024Evaluating Language Model Agency Through Negotiations
- ICLR 2024Expected flow networks in stochastic environments and two-player zero-sum games
- ICLR 2024GROOT: Learning to Follow Instructions by Watching Gameplay Videos
- ICLR 2024Identifying the Risks of LM Agents with an LM-Emulated Sandbox
- ICLR 2024L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
- ICLR 2024Large Language Models as Tool Makers
- ICLR 2024Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
- ICLR 2024Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
- ICLR 2024Learning Multi-Agent Communication from Graph Modeling Perspective
- ICLR 2024Learning Multi-Agent Communication with Contrastive Learning
- ICLR 2024Learning Nash Equilibria in Rank-1 Games
- ICLR 2024Learning Optimal Contracts: How to Exploit Small Action Spaces
- ICLR 2024Learning to Jointly Understand Visual and Tactile Signals
- ICLR 2024Lemur: Harmonizing Natural Language and Code for Language Agents
- ICLR 2024Let Models Speak Ciphers: Multiagent Debate through Embeddings
- ICLR 2024LOQA: Learning with Opponent Q-Learning Awareness
- ICLR 2024LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
- ICLR 2024Maximum Entropy Heterogeneous-Agent Reinforcement Learning
- ICLR 2024MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
- ICLR 2024MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
- ICLR 2024Modeling Boundedly Rational Agents with Latent Inference Budgets
- ICLR 2024Neural Neighborhood Search for Multi-agent Path Finding
- ICLR 2024On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning
- ICLR 2024Online Continual Learning for Interactive Instruction Following Agents
- ICLR 2024PB-LLM: Partially Binarized Large Language Models
- ICLR 2024Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning
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。