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 329 篇，第 6 / 7 页
- NeurIPS 2024Learning to Cooperate with Humans using Generative Agents
- NeurIPS 2024Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf
- NeurIPS 2024Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models
- NeurIPS 2024LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
- NeurIPS 2024Long-form factuality in large language models
- NeurIPS 2024Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments
- NeurIPS 2024MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
- NeurIPS 2024MADiff: Offline Multi-agent Learning with Diffusion Models
- NeurIPS 2024MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
- NeurIPS 2024Maximizing utility in multi-agent environments by anticipating the behavior of other learners
- NeurIPS 2024MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
- NeurIPS 2024Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration
- NeurIPS 2024Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence
- NeurIPS 2024Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games
- NeurIPS 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration
- NeurIPS 2024Multi-Agent Coordination via Multi-Level Communication
- NeurIPS 2024Multi-Agent Domain Calibration with a Handful of Offline Data
- NeurIPS 2024Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
- NeurIPS 2024Multi-LLM Debate: Framework, Principals, and Interventions
- NeurIPS 2024N-agent Ad Hoc Teamwork
- NeurIPS 2024No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
- NeurIPS 2024No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests
- NeurIPS 2024NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
- NeurIPS 2024Observational Scaling Laws and the Predictability of Langauge Model Performance
- NeurIPS 2024OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
- NeurIPS 2024On the Effects of Data Scale on UI Control Agents
- NeurIPS 2024Online Relational Inference for Evolving Multi-agent Interacting Systems
- NeurIPS 2024Opponent Modeling based on Subgoal Inference
- NeurIPS 2024Opponent Modeling with In-context Search
- NeurIPS 2024Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
- NeurIPS 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- NeurIPS 2024Paths to Equilibrium in Games
- NeurIPS 2024Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
- NeurIPS 2024Predicting Future Actions of Reinforcement Learning Agents
- NeurIPS 2024PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action
- NeurIPS 2024Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
- NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
- NeurIPS 2024Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
- NeurIPS 2024Recursive Introspection: Teaching Language Model Agents How to Self-Improve
- NeurIPS 2024RedCode: Multi-dimensional Safety Benchmark for Code Agents
- NeurIPS 2024RedCode: Risky Code Execution and Generation Benchmark for Code Agents
- NeurIPS 2024Reflective Multi-Agent Collaboration based on Large Language Models
- NeurIPS 2024Reinforcing LLM Agents via Policy Optimization with Action Decomposition
- NeurIPS 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models
- NeurIPS 2024RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
- NeurIPS 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
- NeurIPS 2024RL-GPT: Integrating Reinforcement Learning and Code-as-policy
- NeurIPS 2024RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
- NeurIPS 2024Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning
- NeurIPS 2024Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
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。