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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 44 | 27 | 30 | 14 | 115 |
| 2024 | 59 | 34 | 41 | 10 | 144 |
| 2025 | 100 | 49 | 75 | 12 | 236 |
| 2026 | 99 | 60 | 105 | 14 | 278 |
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 251 篇，第 4 / 6 页
- ICML 2025Neural Event-Triggered Control with Optimal Scheduling
- ICML 2025Neural Genetic Search in Discrete Spaces
- ICML 2025Neural Guided Diffusion Bridges
- ICML 2025Non-asymptotic Error Bounds in $\mathcal{W}_2$-Distance with Sqrt(d) Dimension Dependence and First Order Convergence for Langevin Monte Carlo beyond Log-Concavity
- ICML 2025On the Power of Learning-Augmented Search Trees
- ICML 2025Online Robust Reinforcement Learning Through Monte-Carlo Planning
- ICML 2025Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
- ICML 2025Pareto-Optimality, Smoothness, and Stochasticity in Learning-Augmented One-Max-Search
- ICML 2025Policy Gradient with Tree Expansion
- ICML 2025Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search
- ICML 2025Progressive Tempering Sampler with Diffusion
- ICML 2025Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction
- ICML 2025QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
- ICML 2025Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
- ICML 2025Revisiting Non-Acyclic GFlowNets in Discrete Environments
- ICML 2025Runtime Analysis of Evolutionary NAS for Multiclass Classification
- ICML 2025RZ-NAS: Enhancing LLM-guided Neural Architecture Search via Reflective Zero-Cost Strategy
- ICML 2025Sampling Binary Data by Denoising through Score Functions
- ICML 2025Sampling from Binary Quadratic Distributions via Stochastic Localization
- ICML 2025Secant Line Search for Frank-Wolfe Algorithms
- ICML 2025Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo
- ICML 2025Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs
- ICML 2025Subgoal-Guided Policy Heuristic Search with Learned Subgoals
- ICML 2025The Polynomial Stein Discrepancy for Assessing Moment Convergence
- ICML 2025Tree-Sliced Wasserstein Distance with Nonlinear Projection
- ICML 2025Tree-Sliced Wasserstein Distance: A Geometric Perspective
- ICML 2025Trust-Region Twisted Policy Improvement
- ICML 2025Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
- ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
- ICML 2025Variational Phylogenetic Inference with Products over Bipartitions
- ICML 2024A Bayesian Approach to Online Planning
- ICML 2024A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
- ICML 2024Accelerated Speculative Sampling Based on Tree Monte Carlo
- ICML 2024Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
- ICML 2024Ai-sampler: Adversarial Learning of Markov kernels with involutive maps
- ICML 2024AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
- ICML 2024Approximate Nearest Neighbor Search with Window Filters
- ICML 2024Automated Loss function Search for Class-imbalanced Node Classification
- ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
- ICML 2024Contrastive Predict-and-Search for Mixed Integer Linear Programs
- ICML 2024Debiased Distribution Compression
- ICML 2024Demystifying SGD with Doubly Stochastic Gradients
- ICML 2024DetKDS: Knowledge Distillation Search for Object Detectors
- ICML 2024Diffusive Gibbs Sampling
- ICML 2024Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet
- ICML 2024Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers
- ICML 2024EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
- ICML 2024Encodings for Prediction-based Neural Architecture Search
- ICML 2024EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
- ICML 2024Faster Maximum Inner Product Search in High Dimensions
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"}
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。