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 773 篇，第 9 / 16 页

  1. ICML 2025RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy
  2. ICML 2025Sampling Binary Data by Denoising through Score Functions
  3. ICML 2025Sampling from Binary Quadratic Distributions via Stochastic Localization
  4. ICML 2025Secant Line Search for Frank-Wolfe Algorithms
  5. ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
  6. ICML 2025Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs
  7. ICML 2025Subgoal-Guided Policy Heuristic Search with Learned Subgoals
  8. ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
  9. ICML 2025Tree-Sliced Wasserstein Distance with Nonlinear Projection
  10. ICML 2025Tree-Sliced Wasserstein Distance: A Geometric Perspective
  11. ICML 2025Trust-Region Twisted Policy Improvement
  12. ICML 2025Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
  13. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
  14. ICML 2025Variational Phylogenetic Inference with Products over Bipartitions
  15. NeurIPS 2025A Single-Swap Local Search Algorithm for k-Means of Lines
  16. NeurIPS 2025A Smooth Sea Never Made a Skilled SAILOR: Robust Imitation via Learning to Search
  17. NeurIPS 2025Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
  18. NeurIPS 2025AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
  19. NeurIPS 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise
  20. NeurIPS 2025Better Estimation of the Kullback--Leibler Divergence Between Language Models
  21. NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
  22. NeurIPS 2025Bringing SAM to new heights: leveraging elevation data for tree crown segmentation from drone imagery
  23. NeurIPS 2025ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
  24. NeurIPS 2025Compositional Monte Carlo Tree Diffusion for Extendable Planning
  25. NeurIPS 2025Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective
  26. NeurIPS 2025Deep Tree Tensor Networks
  27. NeurIPS 2025Differentiable Decision Tree via "ReLU+Argmin" Reformulation
  28. NeurIPS 2025Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
  29. NeurIPS 2025Discovering Data Structures: Nearest Neighbor Search and Beyond
  30. NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
  31. NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
  32. NeurIPS 2025Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm
  33. NeurIPS 2025Empowering Decision Trees via Shape Function Branching
  34. NeurIPS 2025EvoLM: In Search of Lost Language Model Training Dynamics
  35. NeurIPS 2025Explainably Safe Reinforcement Learning
  36. NeurIPS 2025Fast attention mechanisms: a tale of parallelism
  37. NeurIPS 2025Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning
  38. NeurIPS 2025Faster Generic Identification in Tree-Shaped Structural Causal Models
  39. NeurIPS 2025FEAT: Free energy Estimators with Adaptive Transport
  40. NeurIPS 2025Feedback-Aware MCTS for Goal-Oriented Information Seeking
  41. NeurIPS 2025Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
  42. NeurIPS 2025Graph-based Symbolic Regression with Invariance and Constraint Encoding
  43. NeurIPS 2025Improving Decision Trees through the Lens of Parameterized Local Search
  44. NeurIPS 2025Improving Monte Carlo Tree Search for Symbolic Regression
  45. NeurIPS 2025In Search of Adam’s Secret Sauce
  46. NeurIPS 2025Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
  47. NeurIPS 2025KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
  48. NeurIPS 2025LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
  49. NeurIPS 2025Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
  50. NeurIPS 2025Learning to Better Search with Language Models via Guided Reinforced Self-Training

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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