机制设计论文趋势 2023–2026
拍卖与机制
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,037 篇被归入该主题的论文。
主要结论
- 机制设计论文从 2023 年的 140 篇增长到 2026 年的 426 篇,三年间扩大到约 3.0 倍。
- NeurIPS 是发机制设计论文最多的会议,2023–2026 年共 394 篇,占四个会议总量的 38%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 42 篇。
- 在「博弈与规划」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的经典规划是 3.3 倍,机制设计是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 42 | 34 | 35 | 29 | 140 |
| 2024 | 69 | 25 | 67 | 39 | 200 |
| 2025 | 108 | 58 | 65 | 40 | 271 |
| 2026 | 175 | 65 | 128 | 58 | 426 |
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 Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- ICML 2026Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- CVPR 2026FEAT Fashion Editing and Try-On from Any Design
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
- ICLR 2025AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
- CVPR 2025A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICLR 2024Adaptive Instrument Design for Indirect Experiments
- CVPR 2024InceptionNeXt: When Inception Meets ConvNeXt
- NeurIPS 2023An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
- ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
- ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
- CVPR 2023Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
- NeurIPS 2026A Unified Framework for Uniform-Price Resource Allocation Mechanisms
- ICML 2026Anatomy of Massive Activations and Attention Sinks
- ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
- CVPR 2026Parallax to Align Them All An OmniParallax Attention Mechanism for
全部机制设计论文
共 1,037 篇,第 7 / 21 页
- NeurIPS 2026Explaining and Preventing Alignment Collapse in Iterative RLHF
- NeurIPS 2026Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
- NeurIPS 2026FairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring Mechanisms
- NeurIPS 2026FineRMoE: Dimension Expansion for Finer-Grained Expert with an Upcycling Approach
- NeurIPS 2026Finite-Memory Control of POMDPs: Fundamental Limits and Efficient Design
- NeurIPS 2026Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design
- NeurIPS 2026First-Token Attraction in Mamba Dynamics
- NeurIPS 2026Fisher-Glass: Tail Sample Complexity from Nuisance-Projected Fisher Information
- NeurIPS 2026Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
- NeurIPS 2026Flexible Flows for Biological Sequence Design
- NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
- NeurIPS 2026Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
- NeurIPS 2026Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
- NeurIPS 2026From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination
- NeurIPS 2026FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
- NeurIPS 2026Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
- NeurIPS 2026Gaussian Density Splatting Network
- NeurIPS 2026GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
- NeurIPS 2026Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport
- NeurIPS 2026Geometric Factual Recall in Transformers
- NeurIPS 2026GPA: Generative Population Annealing for Test-Time Sequence Design with Pretrained Generative Models
- NeurIPS 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
- NeurIPS 2026How Diffusion Models Memorize
- NeurIPS 2026How Do Language Models Compose Functions?
- NeurIPS 2026How Do Language Models Understand Tables? A Mechanistic Analysis of Cell Location
- NeurIPS 2026How does feature learning change the function space evolution?
- NeurIPS 2026How to Have a Sensitive Debate
- NeurIPS 2026Identifying Structural Biases from Causal Mechanism Shifts
- NeurIPS 2026Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models
- NeurIPS 2026Instruction Anchor: Dissecting the Mechanistic Dynamics of Modality Arbitration
- NeurIPS 2026Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects
- NeurIPS 2026Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
- NeurIPS 2026Large Language Models Enhanced Covariate-adjusted Response-adaptive Randomization Design
- NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
- NeurIPS 2026Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
- NeurIPS 2026Learning to Learn from Multimodal Experience
- NeurIPS 2026Learning to Persuade a Biased Receiver
- NeurIPS 2026Learning to Price with Persuasion
- NeurIPS 2026Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
- NeurIPS 2026Learning-Augmented Mechanism Design for Facility Location under $L_p$-Norm Social Costs
- NeurIPS 2026LLM Judge Validation Under Sparse Overlap: From Inference to Design
- NeurIPS 2026Locality-Controlled OOD Guidance for Robust Regulatory DNA Sequence Design
- NeurIPS 2026Looped Diffusion Language Models
- NeurIPS 2026Machine Learning-Driven RAG System Design
- NeurIPS 2026Manifold Random Features
- NeurIPS 2026Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
- NeurIPS 2026Maximin Robust Bayesian Experimental Design
- NeurIPS 2026Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit
- NeurIPS 2026Mechanistic Critics for Sample-Efficient NPU Design-Space Exploration
- NeurIPS 2026Mitigating Overgeneralization in RND via Spectral Target Design
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 查机制设计在 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": "negotiation-and-mechanism"}
常见问题
- 2023–2026 年四大会议一共有多少篇机制设计论文?
- 共 1,037 篇,按年份分别是 2023 年 140 篇、2024 年 200 篇、2025 年 271 篇、2026 年 426 篇。
- NeurIPS 2026 有多少篇机制设计论文?
- NeurIPS 2026 有 175 篇机制设计论文,上一届是 108 篇。
- ICLR 2026 有多少篇机制设计论文?
- ICLR 2026 有 65 篇机制设计论文,上一届是 58 篇。
- ICML 2026 有多少篇机制设计论文?
- ICML 2026 有 128 篇机制设计论文,上一届是 65 篇。
- CVPR 2026 有多少篇机制设计论文?
- CVPR 2026 有 58 篇机制设计论文,上一届是 40 篇。
- 哪个会议的机制设计论文最多?
- NeurIPS,2023–2026 年共 394 篇。