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

每年论文数

各会议论文数

按年份和会议统计

AI 智能体论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202376404113170
2024150738818329
202536220417840784
20267295006401141,983

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

全部AI 智能体论文

共 1,983 篇,第 5 / 40 页

  1. ICLR 2026Correlated Policy Optimization in Multi-Agent Subteams
  2. ICLR 2026CP-Agent: Context‑Aware Multimodal Reasoning for Cellular Morphological Profiling under Chemical Perturbations
  3. ICLR 2026Credit-Budgeted ICPC-Style Coding: When LLM Agents Must Pay for Every Decision
  4. ICLR 2026CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence under Partial Observations
  5. ICLR 2026Cyber-Zero: Training Cybersecurity Agents without Runtime
  6. ICLR 2026CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale
  7. ICLR 2026DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
  8. ICLR 2026DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
  9. ICLR 2026DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
  10. ICLR 2026Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
  11. ICLR 2026DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training
  12. ICLR 2026DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
  13. ICLR 2026DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
  14. ICLR 2026DeepEyesV2: Toward Agentic Multimodal Model
  15. ICLR 2026DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
  16. ICLR 2026DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence
  17. ICLR 2026Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
  18. ICLR 2026Demystifying Deep Search: A Holistic Evaluation with Hint-free Multi-Hop Questions and Factorised Metrics
  19. ICLR 2026Denoising Neural Reranker for Recommender Systems
  20. ICLR 2026Detection of unknown unknowns in autonomous systems
  21. ICLR 2026DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
  22. ICLR 2026Discovering Hierarchical Software Engineering Agents via Bandit Optimization
  23. ICLR 2026Discovering Novel LLM Experts via Task-Capability Coevolution
  24. ICLR 2026DiSRouter: Distributed Self-Routing for LLM Selections
  25. ICLR 2026Distributionally Robust Cooperative Multi-agent Reinforcement Learning with Value Factorization
  26. ICLR 2026Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models
  27. ICLR 2026Do Large Language Models Know What They Are Capable Of?
  28. ICLR 2026Do LLM Agents Know How to Ground, Recover, and Assess? Evaluating Epistemic Competence in Information-Seeking Agents
  29. ICLR 2026Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning
  30. ICLR 2026Don't Just Fine-tune the Agent, Tune the Environment
  31. ICLR 2026Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas
  32. ICLR 2026DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
  33. ICLR 2026DRBench: A Realistic Benchmark for Enterprise Deep Research
  34. ICLR 2026DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents
  35. ICLR 2026Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening
  36. ICLR 2026Dual-Scale World Models for LLM Agents towards Hard-Exploration Problems
  37. ICLR 2026DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving
  38. ICLR 2026Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
  39. ICLR 2026Dynamic Speculative Agent Planning
  40. ICLR 2026Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
  41. ICLR 2026Efficient Agent Training for Computer Use
  42. ICLR 2026Eigen-1: Scientific Reasoning through Adaptive Multi-Agent Refinement and Monitor-based RAG
  43. ICLR 2026Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
  44. ICLR 2026Emergent Coordination in Multi-Agent Language Models
  45. ICLR 2026Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking
  46. ICLR 2026Empowering LLM Tool Invocation with Tool-call Reward Model
  47. ICLR 2026Empowering Multi-Robot Cooperation via Sequential World Models
  48. ICLR 2026Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World
  49. ICLR 2026Enhancing Agentic Search via Data Synthesis on Hierarchical Constraint Satisfaction
  50. ICLR 2026Enhancing Complex Symbolic Logical Rea­soning of Large Language Models via Sparse Multi-Agent 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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

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