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 10 / 16 页
- NeurIPS 2025Are Large Language Models Sensitive to the Motives Behind Communication?
- NeurIPS 2025ARIA: Training Language Agents with Intention-driven Reward Aggregation
- NeurIPS 2025Assignments for Congestion-Averse Agents: Seeking Competitive and Envy-Free Solutions
- NeurIPS 2025Attractive Metadata Attack: Inducing LLM Agents to Invoke Malicious Tools
- NeurIPS 2025AutoData: A Multi-Agent System for Open Web Data Collection
- NeurIPS 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
- NeurIPS 2025Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
- NeurIPS 2025Automated Model Discovery via Multi-modal & Multi-step Pipeline
- NeurIPS 2025AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration
- NeurIPS 2025AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
- NeurIPS 2025Bayesian Ego-graph inference for Networked Multi-Agent Reinforcement Learning
- NeurIPS 2025Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
- NeurIPS 2025BeliefMapNav: 3D Voxel-Based Belief Map for Zero-Shot Object Navigation
- NeurIPS 2025Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
- NeurIPS 2025Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
- NeurIPS 2025Bi-Level Knowledge Transfer for Multi-Task Multi-Agent Reinforcement Learning
- NeurIPS 2025Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
- NeurIPS 2025BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
- NeurIPS 2025BrainEC-LLM: Brain Effective Connectivity Estimation by Multiscale Mixing LLM
- NeurIPS 2025CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
- NeurIPS 2025CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
- NeurIPS 2025Can Agent Fix Agent Issues?
- NeurIPS 2025Can Dependencies Induced by LLM-Agent Workflows Be Trusted?
- NeurIPS 2025Cascaded Language Models for Cost-Effective Human–AI Decision-Making
- NeurIPS 2025Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems
- NeurIPS 2025CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
- NeurIPS 2025Certifying Deep Network Risks and Individual Predictions with PAC-Bayes Loss via Localized Priors
- NeurIPS 2025ChemX: A Collection of Chemistry Datasets for Benchmarking Automated Information Extraction
- NeurIPS 2025CLEVER: A Curated Benchmark for Formally Verified Code Generation
- NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
- NeurIPS 2025Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
- NeurIPS 2025CoCoA: A Minimum Bayes Risk Framework Bridging Confidence and Consistency for Uncertainty Quantification in LLMs
- NeurIPS 2025Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks
- NeurIPS 2025COGNAC: Cooperative Graph-based Networked Agent Challenges for Multi-Agent Reinforcement Learning
- NeurIPS 2025Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
- NeurIPS 2025Combining Cost Constrained Runtime Monitors for AI Safety
- NeurIPS 2025Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
- NeurIPS 2025Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
- NeurIPS 2025Conformal Information Pursuit for Interactively Guiding Large Language Models
- NeurIPS 2025Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
- NeurIPS 2025Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
- NeurIPS 2025Context-Aware Hierarchical Learning: A Two-Step Paradigm towards Safer LLMs
- NeurIPS 2025ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions
- NeurIPS 2025Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
- NeurIPS 2025CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
- NeurIPS 2025CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs
- NeurIPS 2025CPathAgent: An Agent-based Foundation Model for Interpretable High-Resolution Pathology Image Analysis Mimicking Pathologists' Diagnostic Logic
- NeurIPS 2025CREA: A Collaborative Multi-Agent Framework for Creative Image Editing and Generation
- NeurIPS 2025Crucible: Quantifying the Potential of Control Algorithms through LLM Agents
- NeurIPS 2025CURE: Co-Evolving Coders and Unit Testers via 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。