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 947 篇，第 7 / 19 页
- ICML 2026Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMs
- ICML 2026Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
- ICML 2026KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
- ICML 2026KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
- ICML 2026KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware
- ICML 2026LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
- ICML 2026Language Model Networks: Supervision-Efficient Learning through Dense Communication
- ICML 2026Language-based Trial and Error Falls Behind in the Era of Experience
- ICML 2026Large Language Model Agents Are Not Always Faithful Self-Evolvers
- ICML 2026Large-Scale Terminal Agentic Trajectory Generation from Dockerized Environments
- ICML 2026Latent Collaboration in Multi-Agent Systems
- ICML 2026Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
- ICML 2026Learning Disentangled Multi-Agent World Model for Decentralized Control
- ICML 2026Learning Efficient Guardrails for Compliance
- ICML 2026Learning GUI Grounding with Spatial Reasoning from Visual Feedback
- ICML 2026Learning Human-Robot Collaboration via Heterogeneous-Agent Lyapunov Policy Optimization
- ICML 2026Learning Multi-Agent Coordination via Sheaf-ADMM
- ICML 2026Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
- ICML 2026Learning Randomized Reductions
- ICML 2026Learning Robust Multi-Agent Policies via Selective Adversarial Fault Induction
- ICML 2026Learning Task-Sufficient World Models by Synergizing Agentic Exploration and Structured Modeling
- ICML 2026Learning to Explore: Scaling Agentic Reasoning via Exploration-Aware Policy Optimization
- ICML 2026Learning to Share: Selective Memory for Efficient Parallel Agentic Systems
- ICML 2026Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use
- ICML 2026LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis
- ICML 2026Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
- ICML 2026LightWM: Training-Free Hierarchical Working Memory for Small Language Model Agents
- ICML 2026LitReview Arena: Evaluating Literature Review Agents with Battle-style Peer Review Platform
- ICML 2026LiveFigure: Generating Editable Scientific Illustration with VLM Agents
- ICML 2026LiveNewsBench: Evaluating Web Search Agents with Freshly Curated News
- ICML 2026LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior
- ICML 2026LLM-based Embeddings: Attention Values Encode Sentence Semantics Better Than Hidden States
- ICML 2026LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
- ICML 2026LLM-MatLogic: Executable Exchange Contracts for Knowledge-Graph Query Answering with Scoped Negation
- ICML 2026LLM4Cov: Execution-Aware Agentic Learning for High-coverage Testbench Generation
- ICML 2026LOCA-bench: Benchmarking Language Agents Under Controllable and Extreme Context Growth
- ICML 2026Local Policies for Graph-Structured Markov Decision Processes
- ICML 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agents
- ICML 2026MADE: Benchmark Environments for Closed-Loop Materials Discovery
- ICML 2026MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
- ICML 2026MAGIC: A Co-Evolving Attacker–Defender Adversarial Game for Robust LLM Safety
- ICML 2026MALICE: Memory-aware Loop Invariants Generation on Symbolic Execution Traces
- ICML 2026MaMa: A Game-Theoretic Approach for Designing Safe Agentic Systems
- ICML 2026MarketSim: Simulating Stock Markets with Large-Scale Generative Agents
- ICML 2026MARS-SQL: A Multi-Agent Reinforcement Learning Framework For Text-To-SQL
- ICML 2026MARS: Modular Agent with Reflective Search for Automated AI Research
- ICML 2026MAS-Architect: Declarative Multi-Agent System Design via Separation of Concerns
- ICML 2026MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
- ICML 2026MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
- ICML 2026MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
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。