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 640 篇，第 4 / 13 页
- ICML 2026Cycle-of-Science: Reliable Reasoning through Counterfactual Verification for Agent Decision Making
- ICML 2026D-FUSEr: Diverse Failure, Unified Success via Error-Distribution Shaping in LLM Reasoning
- ICML 2026d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
- ICML 2026Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
- ICML 2026Data Difficulty and the Generalization–Extrapolation Tradeoff in LLM Fine-Tuning
- ICML 2026daVinci-Dev: Agent-native Mid-training for Software Engineering
- ICML 2026De-Linearizing Agent Traces: Bayesian Inference of Latent Partial Orders for Efficient Execution
- ICML 2026Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models
- ICML 2026Debate2Create: Robot Co-design via Multi-Agent LLM Debate
- ICML 2026Decentralized and Disentangled Task–Role Representation Learning for Generalizable Offline Multi-Agent Meta Reinforcement Learning
- ICML 2026DECOR: Learning to Decompose and Collaborate in Deep Search via Multi-Agent Reinforcement Learning
- ICML 2026Deep Incentive Design with Differentiable Equilibrium Blocks
- ICML 2026Deep Reinforcement Learning Finds Bayes-Nash Equilibrium in Competitive Newsvendor Problems
- ICML 2026DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
- ICML 2026DeepHA: Scaling Action Chains Elicits Deep Hierarchical Agents
- ICML 2026DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
- ICML 2026DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation
- ICML 2026Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs
- ICML 2026DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
- ICML 2026Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
- ICML 2026Detecting Perspective Shifts in Multi-Agent Systems
- ICML 2026Deterministic Component Mining for Multi-Framework UI2Code Generation
- ICML 2026Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
- ICML 2026Differentiable Conformal Training for LLM Reasoning Factuality
- ICML 2026Diffusing to Coordinate: Efficient Online Multi-Agent Diffusion Policies
- ICML 2026Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
- ICML 2026Distributionally Robust Markov Games with Average Reward
- ICML 2026DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
- ICML 2026Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
- ICML 2026DLM: Unified Decision Language Model for Offline Multi-Agent Sequential Decision Making
- ICML 2026DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder
- ICML 2026DocOS: Towards Proactive Document-Guided Actions in GUI Agents
- ICML 2026Does Reinforcement Fine-Tuning Improve Generalization of LLM Agents? An Empirical Study
- ICML 2026Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
- ICML 2026DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
- ICML 2026Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
- ICML 2026DRIFT-BENCH: Diagnosing CoopeRative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
- ICML 2026DRPBench: Evaluating LLMs in Concurrent Code Comprehension via Fine-Grained Data Race Prediction
- ICML 2026Dual Latent Memory for Visual Multi-agent System
- ICML 2026DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing
- ICML 2026DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
- ICML 2026Dynamic Optimizations of LLM Ensembles with Two-Stage Reinforcement Learning Agents
- ICML 2026DynaSchedBench: Calibrated Dynamic Scheduling Benchmarks and Observability Paradox in LLM-based Scheduling Agents
- ICML 2026E-mem: Multi-Agent Based Episodic Context Reconstruction for LLM Agent Memory
- ICML 2026E-VAds: An E-commerce Short Videos Understanding Benchmark for MLLMs
- ICML 2026EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance
- ICML 2026Editable Proof Sketch for Automated Theorem Proving
- ICML 2026EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation
- ICML 2026EffGen: Enabling Small Language Models as Capable Autonomous Agents
- ICML 2026Efficient Multi-Agent Reasoning via Confidence-Guided Adaptive Debate
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。