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 729 篇，第 3 / 15 页

101. NeurIPS 2026Beyond IPS: Reliable Counterfactual Evaluation in Multi-Stage Ad Systems without Logged Propensities
102. NeurIPS 2026Beyond Prediction: Steering VLM Agents with Retrospective World Modeling
103. NeurIPS 2026Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
104. NeurIPS 2026Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents
105. NeurIPS 2026Beyond Task Success: Probing Cognitive Primitives in Web Agents
106. NeurIPS 2026Beyond Training Time, Test-Time Coordination is Essential for Cooperative MARL
107. NeurIPS 2026Beyond Truthfulness: Evaluating Honesty in Large Language Models
108. NeurIPS 2026Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations
109. NeurIPS 2026BiasTrojan: LLM Judgers Are Easily Distorted by Few Hundreds of Contrastive Biased Training Data
110. NeurIPS 2026BioMicroAgents: A Co-evolutionary Multi-Agent Framework for High-Fidelity Biomicroscopy Imaging
111. NeurIPS 2026BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks
112. NeurIPS 2026BIRD-RL: Scaling Agentic Reinforcement Learning over Stateful Data-Centric Environments
113. NeurIPS 2026Bits Beat Tokens: A Regret Rate Distortion Theory for Large Language Model Agents
114. NeurIPS 2026BlenderFORGE: Framework for Optimizing Reactive 3D-Graphics Editing Ability of MLLMs
115. NeurIPS 2026BootstrapAgent: Turning Repository Setup into Reusable Agent Knowledge
116. NeurIPS 2026Boundary-Induced Forgetting in Large Language Model Tool Chains: Measuring Field-Routing Failures
117. NeurIPS 2026Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon Trajectories
118. NeurIPS 2026Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning
119. NeurIPS 2026Bridging Simulation and Reality: Geometry and Decision Alignment for Autonomous Driving
120. NeurIPS 2026Build-and-Find: An Effort-Aware Protocol for Evaluating Agent-Managed Codebases
121. NeurIPS 2026CAFE: Causally-Guided Automated Feature Engineering with Multi-Agent Reinforcement Learning
122. NeurIPS 2026Calibration Is Not Control: Intervention Advantage for LLM-Agent Oversight
123. NeurIPS 2026CaMeLs Can Use Computers Too: System-level Security for Computer Use Agents
124. NeurIPS 2026Can Agents Price a Reaction? Evaluating LLMs on Chemical Cost Reasoning
125. NeurIPS 2026Can AI Agents Synthesize Scientific Conclusions?
126. NeurIPS 2026Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
127. NeurIPS 2026CANDO: Cooperative Agentic Network for Layout Design Optimization
128. NeurIPS 2026Capturing LLM Capabilities via Evidence-Calibrated Query Clustering
129. NeurIPS 2026CARD: Internalizing Expert Critique into Reinforcement Learning for Deep Search
130. NeurIPS 2026CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring
131. NeurIPS 2026Causal Effects with Unobserved Unit Types in Interacting Human–AI Systems
132. NeurIPS 2026CEO-Bench: Can Agents Play the Long Game?
133. NeurIPS 2026Chain-of-Route: State-Aware LLM Routing for Multi-Turn Conversations
134. NeurIPS 2026CHAIN: Continual Heterogeneous Cooperation with Information Bottleneck for Multi-Agent Reinforcement Learning
135. NeurIPS 2026Cheap Talk, Real Stakes: Commitment and Exploitation in Human-LLM Strategic Interaction
136. NeurIPS 2026Choosing Before Acting: Comparative Value Estimation for Long-Horizon Tool-Use Agents
137. NeurIPS 2026CivBench: A Long-Horizon Benchmark for Tool-Mediated Agents in Civilization VI
138. NeurIPS 2026Claude Coke: Prevent Automated Crime by Agents
139. NeurIPS 2026CLIOPATRA: Extracting Private Information from LLM Insights
140. NeurIPS 2026CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?
141. NeurIPS 2026CoE-Agent: Co-Evolving Patient-Doctor Agents via Interactive Policy Graph Optimization for Clinical Decision Making
142. NeurIPS 2026CoffeeBench: A Benchmark for Long-Horizon Strategic Decision-Making in Multi-Agent Economies
143. NeurIPS 2026Conditional Multi-Event Temporal Grounding in Long-Form Video
144. NeurIPS 2026Conformal Agent Error Attribution
145. NeurIPS 2026Consumer Search and Social Learning in Agentic Markets
146. NeurIPS 2026Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments
147. NeurIPS 2026ContractBench: Can LLM Agents Preserve Observation Contracts?
148. NeurIPS 2026Contrastive Discovery: Open-Ended Scientific Discovery over Competing Explanations
149. NeurIPS 2026Contrastive Pretraining Scales Agentic Exploration
150. NeurIPS 2026Contrastive Representation Shaping for LLM Unlearning

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。