MCTS论文趋势 2023–2026

主要结论

• MCTS论文从 2023 年的 115 篇增长到 2026 年的 278 篇，三年间扩大到约 2.4 倍。
• NeurIPS 是发MCTS论文最多的会议，2023–2026 年共 302 篇，占四个会议总量的 39%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 26 篇。
• 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的经典规划是 3.3 倍，MCTS是 2.4 倍。

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 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
• ICML 2026$\alpha$-PFN: Fast Entropy Search via In-Context Learning
• ICLR 2026Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
• CVPR 2026DRS-GUI Dynamic Region Search for Training-Free GUI Grounding
• NeurIPS 2025A Single-Swap Local Search Algorithm for k-Means of Lines
• ICML 2025Accelerating Large Language Model Reasoning via Speculative Search
• ICLR 2025Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
• CVPR 2025DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding
• NeurIPS 2024Speculative Monte-Carlo Tree Search
• ICML 2024Accelerated Speculative Sampling Based on Tree Monte Carlo
• ICLR 2024Chain of Log-Concave Markov Chains
• CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
• NeurIPS 2023Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
• ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
• ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
• CVPR 2023Bridging Search Region Interaction With Template for RGB-T Tracking
• NeurIPS 2026A Revisit of Hamiltonian Monte Carlo Efficiency on Bayesian Neural Networks
• ICML 2026A Bi-metric Framework for Efficient Nearest Neighbor Search
• ICLR 2026Dr.LLM: Dynamic Layer Routing in LLMs
• CVPR 2026UAST Unified Active Search and Tracking for Arbitrary Targets with

全部MCTS论文

共 144 篇，第 2 / 3 页

51. ICML 2024Approximate Nearest Neighbor Search with Window Filters
52. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
53. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
54. ICML 2024Contrastive Predict-and-Search for Mixed Integer Linear Programs
55. ICML 2024Debiased Distribution Compression
56. ICML 2024Demystifying SGD with Doubly Stochastic Gradients
57. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
58. ICML 2024Diffusive Gibbs Sampling
59. ICML 2024Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
60. ICML 2024Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
61. ICML 2024EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
62. ICML 2024Encodings for Prediction-based Neural Architecture Search
63. ICML 2024EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
64. ICML 2024Faster Maximum Inner Product Search in High Dimensions
65. ICML 2024Integrated Hardware Architecture and Device Placement Search
66. ICML 2024Iterative Search Attribution for Deep Neural Networks
67. ICML 2024Kernel Semi-Implicit Variational Inference
68. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
69. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
70. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
71. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
72. ICML 2024Online Variational Sequential Monte Carlo
73. ICML 2024Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
74. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
75. ICML 2024Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
76. ICML 2024Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
77. ICML 2024Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
78. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
79. ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
80. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
81. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
82. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
83. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
84. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
85. ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
86. NeurIPS 20243D Gaussian Splatting as Markov Chain Monte Carlo
87. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
88. NeurIPS 2024Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
89. NeurIPS 2024AlphaMath Almost Zero: Process Supervision without Process
90. NeurIPS 2024An engine not a camera: Measuring performative power of online search
91. NeurIPS 2024Automated Efficient Estimation using Monte Carlo Efficient Influence Functions
92. NeurIPS 2024Beyond Accuracy: Tracking more like Human via Visual Search
93. NeurIPS 2024Binary Search with Distributional Predictions
94. NeurIPS 2024CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
95. NeurIPS 2024Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
96. NeurIPS 2024Conditional Density Estimation with Histogram Trees
97. NeurIPS 2024Constrained Sampling with Primal-Dual Langevin Monte Carlo
98. NeurIPS 2024CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search
99. NeurIPS 2024Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
100. NeurIPS 2024Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors

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。