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 947 篇,第 5 / 19 页

  1. ICML 2026Efficient Multi-round LLM Inference over Disaggregated Serving
  2. ICML 2026EGG: An Expert-Guided Agent Framework for Kernel Generation
  3. ICML 2026EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
  4. ICML 2026Embodied Task Planning via Graph-Informed Action Generation with Large Language Models
  5. ICML 2026Emergence of Biased Consensus in Multi-Agent LLM Debates
  6. ICML 2026Emergent Alignment via Competition
  7. ICML 2026EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
  8. ICML 2026EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
  9. ICML 2026Envy-Free Allocation of Indivisible Goods via Noisy Queries
  10. ICML 2026Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
  11. ICML 2026Escaping Mode Collapse in LLM Generation via Geometric Regulation
  12. ICML 2026Escaping Whack-a-Mole: Optimizing Documentation as Repo-Specific Playbooks for Coding Agents
  13. ICML 2026Estimating the Empowerment of Language Model Agents
  14. ICML 2026Evaluating Contextual Illegality: AI Compliance in Corporate Law Scenarios
  15. ICML 2026EVMbench: Evaluating AI Agents on Smart Contract Security
  16. ICML 2026EvoC2F: Compiling Tool Orchestration for Efficient and Evolvable LLM Agents
  17. ICML 2026EvoCF: Multi-Agent Collaboration via Agentic Memory-Driven Evolutionary Counterfactual Planning
  18. ICML 2026EvoClaw: Evaluating AI Agents on Continuous Software Evolution
  19. ICML 2026Evolving Interpretable Constitutions for Multi-Agent Coordination
  20. ICML 2026Evolving Quantitative Reasoning through Self-Play in Digital Twin Markets
  21. ICML 2026EVOLVING ROLLOUTS: Harnessing Historical Experience for Web Agent Evolution in Reinforcement Learning
  22. ICML 2026EvoMAS: Evolutionary Generation of Multi-Agent Systems
  23. ICML 2026EvoMAS: Heuristics in the Loop—Evolving Smarter Agentic Workflows
  24. ICML 2026ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
  25. ICML 2026Executable Agentic Memory for GUI Agent
  26. ICML 2026Experience-Evolving Multi-Turn Tool-Use Agent with Hybrid Episodic–Procedural Memory
  27. ICML 2026Exploration Hacking: Can LLMs Learn to Resist RL Training?
  28. ICML 2026FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
  29. ICML 2026Factored Value Functions for Graph-Based Multi-Agent Reinforcement Learning
  30. ICML 2026Failure is Feedback: History-Aware Backtracking for Agentic Traversal in Multimodal Graphs
  31. ICML 2026Failure-Driven Workflow Refinement
  32. ICML 2026FakeWorld 1.0: An Omni-modal Benchmark for Fake Media and Content
  33. ICML 2026FIRE-Bench: Evaluating AI Agents on the Rediscovery of Scientific Insights
  34. ICML 2026Fix Before Search: Benchmarking Agentic Visual Query Pre-processing in Multimodal Retrieval-augmented Generation
  35. ICML 2026FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients
  36. ICML 2026FlowMAP: Flow Matching for Generalizable Agent Planning
  37. ICML 2026FormAct: Agentic Source Editing for Rich-Format Document Generation
  38. ICML 2026Formalizing Learning from Language Feedback with Provable Guarantees
  39. ICML 2026FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight
  40. ICML 2026FormulaCode: Evaluating Agentic Optimization on Large Codebases
  41. ICML 2026From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG
  42. ICML 2026From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
  43. ICML 2026From Interaction Trajectories to Prompt Rules: Credit Assignment for Multi-Agent Prompt Optimization
  44. ICML 2026From Interactions to Principles: Experience-Driven Self-Distillation for Evolving LLM Agents
  45. ICML 2026From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
  46. ICML 2026From Player to Master: Enhancing Test-Time Learning of LLM Agents via Reinforcement Learning over Memory
  47. ICML 2026From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching
  48. ICML 2026From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
  49. ICML 2026FrontierCS: Evolving Challenges for Evolving Intelligence
  50. ICML 2026FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents

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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