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 640 篇，第 2 / 13 页

51. ICML 2026ALSO: Adversarial Online Strategy Optimization for Social Agents
52. ICML 2026AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications
53. ICML 2026An Interactive Paradigm for Deep Research
54. ICML 2026AnalogVerifier: A Neuro-Symbolic Framework for Analog Circuit Verification
55. ICML 2026ANCHOR: Automated Alignment Auditing for CLI Agents on Real-World Harm
56. ICML 2026Anytime Detection of Strategic Deviations in Multi-Agent Systems
57. ICML 2026AOEB: Benchmarking Agent-Oriented Multimodal Embeddings
58. ICML 2026AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
59. ICML 2026AppWorld-UL: Benchmarking Diverse Agent-User Interactions for Tool-Use
60. ICML 2026Architecture Matters for Multi-Agent Security
61. ICML 2026Are Your Agents Upward Deceivers?
62. ICML 2026ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking
63. ICML 2026ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
64. ICML 2026Ask Less, See More: Communication-Conditioned Token Pruning for Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
65. ICML 2026AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
66. ICML 2026AtomWorld: A Benchmark for Evaluating Spatial Reasoning in Large Language Models on Material Structures
67. ICML 2026Autobidding Auctions with LLM-Powered Creatives
68. ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
69. ICML 2026AutoMat: Physics-Guided Agentic Reasoning for Solving Ill-Posed Inverse Microscopy Problems
70. ICML 2026Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
71. ICML 2026Automatic Construction of Clinical Scoring Systems with LLM Agents
72. ICML 2026AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design
73. ICML 2026AutoRAS: Learning Robust Agentic Systems with Primitive Representations
74. ICML 2026AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions
75. ICML 2026AutoSizer: Automatic Sizing of Analog and Mixed-Signal Circuits via Large Language Model (LLM) Agents
76. ICML 2026AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
77. ICML 2026AutoWebWorld: Synthesizing Infinite Verifiable Web Environments via Finite State Machines
78. ICML 2026B-Spar: Bayesian Sparse-Reward Modeling for RL-based Image Editing
79. ICML 2026Backjump-on-Graph: Empowering Large Language Models with Reinforced Retrospective Exploration for Agentic Knowledge Graph Reasoning
80. ICML 2026Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
81. ICML 2026Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks
82. ICML 2026BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate
83. ICML 2026Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks
84. ICML 2026Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
85. ICML 2026Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
86. ICML 2026Beyond Correctness: Distance-Based Social Dynamics of Multi-Agent Debate
87. ICML 2026Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale
88. ICML 2026Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
89. ICML 2026Beyond Static Endpoints: Tool Programs as an Interface for Flexible Agentic Web Services
90. ICML 2026Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
91. ICML 2026Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
92. ICML 2026Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning
93. ICML 2026BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics
94. ICML 2026BIOARC: Discovering Optimal Neural Architectures for Biological Foundation Models
95. ICML 2026Bootstrapped Exploration with Causal Reasoning: A Training Paradigm for Adaptive Forecasting Agent
96. ICML 2026Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
97. ICML 2026Bridging the Grounding Gap in VideoQA via Typed Memory for Language-based Belief-State Reasoning
98. ICML 2026BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
99. ICML 2026Budget-Efficient Attacks and Robustness Training for Cooperative MARL
100. ICML 2026BuildArena: A Physics-Aligned Interactive Benchmark of LLMs for Engineering Construction

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。