MCTS论文趋势 2023–2026

搜索与 MCTS

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 773 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

MCTS论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202344273014115
202459344110144
2025100497512236
2026996010514278

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MCTS论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 278 篇，第 4 / 6 页

  1. ICML 2026Probabilistic Bisection Algorithm Provably Achieves Exponential Convergence
  2. ICML 2026Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis–Hastings with Approximate Operators
  3. ICML 2026Recursive Monte-Carlo Tree Search
  4. ICML 2026RefChess: Training-Free Contextual Search for Zero-Shot Referring Image Segmentation
  5. ICML 2026Reflective Hamiltonian Monte Carlo: Mixing Analysis and Application to Sampling on Stiefel Manifold
  6. ICML 2026Reinforced Sequential Monte Carlo for Amortised Sampling
  7. ICML 2026RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search
  8. ICML 2026SCHUR-A*: Layer-wise Optimal Expert Pruning for MoEs via Schur-Complement Guided A* Search
  9. ICML 2026Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces
  10. ICML 2026Search or Accelerate: Confidence-Switched Position Beam Search for Diffusion Language Models
  11. ICML 2026Search Space Synthesis for Parametric Functions
  12. ICML 2026Self-Prophetic Decoding to Unlock Visual Search in LVLMs
  13. ICML 2026Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures
  14. ICML 2026Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases
  15. ICML 2026Stationary MMD Points
  16. ICML 2026Structure-Induced Information for Rerooting Levin Tree Search
  17. ICML 2026Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
  18. ICML 2026SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
  19. ICML 2026SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
  20. ICML 2026Test-Time Graph Search for Goal-Conditioned Reinforcement Learning
  21. ICML 2026TFTF: Training-Free Targeted Flow for Conditional Sampling
  22. ICML 2026The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions
  23. ICML 2026The Surprising Difficulty of Search in Model-Based Reinforcement Learning
  24. ICML 2026The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search
  25. ICML 2026Thinned Mean Field Langevin Dynamics
  26. ICML 2026Tree-Structured Orthonormal Decomposition of the Aitchison Simplex
  27. ICML 2026Twice Sequential Monte Carlo for Tree Search
  28. ICML 2026UnMaskFork: Test-Time Scaling for Masked Diffusion via Deterministic Action Branching
  29. ICML 2026Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
  30. NeurIPS 2026A Control-Theoretic Approximation to Predictive Coding Dynamics
  31. NeurIPS 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
  32. NeurIPS 2026A Revisit of Hamiltonian Monte Carlo Efficiency on Bayesian Neural Networks
  33. NeurIPS 2026AdaTree: Serving-Aware Adaptive Tree Construction for Speculative Decoding
  34. NeurIPS 2026Agentic Neural Architecture Search
  35. NeurIPS 2026An Efficient Algorithm for Thresholding Monte Carlo Tree Search
  36. NeurIPS 2026Beyond Expected Values: Risk-Sensitive Planning with Distributional Monte-Carlo Tree Search
  37. NeurIPS 2026Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
  38. NeurIPS 2026Breadcrumbing Search Agents: Per-Turn Scheming Over Long-Horizon Trajectories
  39. NeurIPS 2026Breaking the $\sqrt{d}$ Communication Barrier in Federated Sampling with Adaptive Hamiltonian Monte Carlo
  40. NeurIPS 2026BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
  41. NeurIPS 2026Calibrated Safe Policy Improvement for Continuous Offline Reinforcement Learning
  42. NeurIPS 2026CARD: Internalizing Expert Critique into Reinforcement Learning for Deep Search
  43. NeurIPS 2026Cluster with Auctions for Vector Search
  44. NeurIPS 2026COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
  45. NeurIPS 2026Conditioning Gaussian Processes on Almost Anything
  46. NeurIPS 2026Contour Monte Carlo: Sampling via Energy Level Sets
  47. NeurIPS 2026Corrected Integrated Laplace Approximation for Bayesian Inference in Latent Gaussian Models
  48. NeurIPS 2026DASS: A Solver-Agnostic Dynamic Auxiliary Search Strategy for Symbolic Regression
  49. NeurIPS 2026Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
  50. NeurIPS 2026Differentiable Systematic Resampling for Variational Sequential Monte Carlo

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MCTS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": "monte-carlo-tree-search"}

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MCTS论文？
共 773 篇，按年份分别是 2023 年 115 篇、2024 年 144 篇、2025 年 236 篇、2026 年 278 篇。
NeurIPS 2026 有多少篇MCTS论文？
NeurIPS 2026 有 99 篇MCTS论文，上一届是 100 篇。
ICLR 2026 有多少篇MCTS论文？
ICLR 2026 有 60 篇MCTS论文，上一届是 49 篇。
ICML 2026 有多少篇MCTS论文？
ICML 2026 有 105 篇MCTS论文，上一届是 75 篇。
CVPR 2026 有多少篇MCTS论文？
CVPR 2026 有 14 篇MCTS论文，上一届是 12 篇。
哪个会议的MCTS论文最多？
NeurIPS，2023–2026 年共 302 篇。

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