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 27 篇，第 1 / 1 页

1. ICLR 2023A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
2. ICLR 2023A Self-Attention Ansatz for Ab-initio Quantum Chemistry
3. ICLR 2023A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search
4. ICLR 2023A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
5. ICLR 2023Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time
6. ICLR 2023Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
7. ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
8. ICLR 2023AutoGT: Automated Graph Transformer Architecture Search
9. ICLR 2023Automating Nearest Neighbor Search Configuration with Constrained Optimization
10. ICLR 2023Average Sensitivity of Decision Tree Learning
11. ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
12. ICLR 2023Critic Sequential Monte Carlo
13. ICLR 2023DamoFD: Digging into Backbone Design on Face Detection
14. ICLR 2023Denoising Diffusion Samplers
15. ICLR 2023Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem
16. ICLR 2023EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
17. ICLR 2023Efficient Offline Policy Optimization with a Learned Model
18. ICLR 2023Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
19. ICLR 2023Improving Deep Policy Gradients with Value Function Search
20. ICLR 2023Improving Differentiable Neural Architecture Search by Encouraging Transferability
21. ICLR 2023Learning Structured Representations by Embedding Class Hierarchy
22. ICLR 2023PowerQuant: Automorphism Search for Non-Uniform Quantization
23. ICLR 2023Sparse tree-based Initialization for Neural Networks
24. ICLR 2023Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
25. ICLR 2023Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
26. ICLR 2023The Dark Side of AutoML: Towards Architectural Backdoor Search
27. ICLR 2023ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients

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。