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 41 篇，第 1 / 1 页

1. ICML 2024A Bayesian Approach to Online Planning
2. ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
3. ICML 2024Accelerated Speculative Sampling Based on Tree Monte Carlo
4. ICML 2024Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
5. ICML 2024Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
6. ICML 2024AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
7. ICML 2024Approximate Nearest Neighbor Search with Window Filters
8. ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
9. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
10. ICML 2024Contrastive Predict-and-Search for Mixed Integer Linear Programs
11. ICML 2024Debiased Distribution Compression
12. ICML 2024Demystifying SGD with Doubly Stochastic Gradients
13. ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
14. ICML 2024Diffusive Gibbs Sampling
15. ICML 2024Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
16. ICML 2024Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
17. ICML 2024EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
18. ICML 2024Encodings for Prediction-based Neural Architecture Search
19. ICML 2024EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
20. ICML 2024Faster Maximum Inner Product Search in High Dimensions
21. ICML 2024Integrated Hardware Architecture and Device Placement Search
22. ICML 2024Iterative Search Attribution for Deep Neural Networks
23. ICML 2024Kernel Semi-Implicit Variational Inference
24. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
25. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
26. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
27. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
28. ICML 2024Online Variational Sequential Monte Carlo
29. ICML 2024Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
30. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
31. ICML 2024Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
32. ICML 2024Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
33. ICML 2024Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
34. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
35. ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
36. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
37. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
38. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
39. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
40. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
41. ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)

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。