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 784 篇，第 2 / 16 页

51. ICLR 2025AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
52. ICLR 2025AgentRefine: Enhancing Agent Generalization through Refinement Tuning
53. ICLR 2025Agents' Room: Narrative Generation through Multi-step Collaboration
54. ICLR 2025AgentSquare: Automatic LLM Agent Search in Modular Design Space
55. ICLR 2025AgentStudio: A Toolkit for Building General Virtual Agents
56. ICLR 2025AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
57. ICLR 2025Aligned LLMs Are Not Aligned Browser Agents
58. ICLR 2025Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
59. ICLR 2025An Intelligent Agentic System for Complex Image Restoration Problems
60. ICLR 2025AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
61. ICLR 2025Anyprefer: An Agentic Framework for Preference Data Synthesis
62. ICLR 2025Audio Large Language Models Can Be Descriptive Speech Quality Evaluators
63. ICLR 2025AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
64. ICLR 2025Automated Design of Agentic Systems
65. ICLR 2025BadRobot: Jailbreaking Embodied LLM Agents in the Physical World
66. ICLR 2025Balancing Act: Diversity and Consistency in Large Language Model Ensembles
67. ICLR 2025BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
68. ICLR 2025Benchmarking Agentic Workflow Generation
69. ICLR 2025Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback
70. ICLR 2025BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
71. ICLR 2025Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate
72. ICLR 2025Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
73. ICLR 2025Can Textual Gradient Work in Federated Learning?
74. ICLR 2025Can Watermarks be Used to Detect LLM IP Infringement For Free?
75. ICLR 2025Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
76. ICLR 2025CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
77. ICLR 2025CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
78. ICLR 2025ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
79. ICLR 2025CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
80. ICLR 2025Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
81. ICLR 2025ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization
82. ICLR 2025Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection
83. ICLR 2025COMBO: Compositional World Models for Embodied Multi-Agent Cooperation
84. ICLR 2025Competing Large Language Models in Multi-Agent Gaming Environments
85. ICLR 2025Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
86. ICLR 2025Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models
87. ICLR 2025DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
88. ICLR 2025DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
89. ICLR 2025DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
90. ICLR 2025Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents
91. ICLR 2025Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations
92. ICLR 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control
93. ICLR 2025Discriminator-Guided Embodied Planning for LLM Agent
94. ICLR 2025Dissecting Adversarial Robustness of Multimodal LM Agents
95. ICLR 2025DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
96. ICLR 2025Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
97. ICLR 2025Do as We Do, Not as You Think: the Conformity of Large Language Models
98. ICLR 2025Do LLM Agents Have Regret? A Case Study in Online Learning and Games
99. ICLR 2025Do LLMs ``know'' internally when they follow instructions?
100. ICLR 2025DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning

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。