Mechanism Design papers, 2023–2026

Key findings

• Mechanism Design went from 140 papers in 2023 to 426 in 2026, roughly 3.0x in three years.
• NeurIPS publishes the most Mechanism Design work: 394 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 5 in 2023 to 42 in 2026.
• Among the 5 topics under Games and Planning, it ranks #2 by 2026 paper count; the fastest grower in the group, Classical Planning, is up 3.3x versus 3.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Mechanism Design papers

175 papers, page 2 of 4

51. NeurIPS 2026Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
52. NeurIPS 2026FairTune Market: A Fair and Trustworthy Marketplace for Fine-Tuned LLMs via Posted-Price & Proper-Scoring Mechanisms
53. NeurIPS 2026FineRMoE: Dimension Expansion for Finer-Grained Expert with an Upcycling Approach
54. NeurIPS 2026Finite-Memory Control of POMDPs: Fundamental Limits and Efficient Design
55. NeurIPS 2026Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design
56. NeurIPS 2026First-Token Attraction in Mamba Dynamics
57. NeurIPS 2026Fisher-Glass: Tail Sample Complexity from Nuisance-Projected Fisher Information
58. NeurIPS 2026Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
59. NeurIPS 2026Flexible Flows for Biological Sequence Design
60. NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
61. NeurIPS 2026Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
62. NeurIPS 2026Forgetting is Not Always Bad: A Neuro-Inspired Memory Repair Mechanism for Poisoned LLM Agents
63. NeurIPS 2026From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination
64. NeurIPS 2026FrontierOR: Benchmarking LLMs' Capacity for Efficient Algorithm Design in Large-Scale Optimization
65. NeurIPS 2026Full-Atom Cyclic Peptide Design via Test-Time Scaled Autoregressive Flow Matching
66. NeurIPS 2026Gaussian Density Splatting Network
67. NeurIPS 2026GenAI Evaluation Results are Largely Artifacts of Evaluation Design Choices: Evidence from Audit Studies of Resume Screening
68. NeurIPS 2026Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport
69. NeurIPS 2026Geometric Factual Recall in Transformers
70. NeurIPS 2026GPA: Generative Population Annealing for Test-Time Sequence Design with Pretrained Generative Models
71. NeurIPS 2026Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
72. NeurIPS 2026How Diffusion Models Memorize
73. NeurIPS 2026How Do Language Models Compose Functions?
74. NeurIPS 2026How Do Language Models Understand Tables? A Mechanistic Analysis of Cell Location
75. NeurIPS 2026How does feature learning change the function space evolution?
76. NeurIPS 2026How to Have a Sensitive Debate
77. NeurIPS 2026Identifying Structural Biases from Causal Mechanism Shifts
78. NeurIPS 2026Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models
79. NeurIPS 2026Instruction Anchor: Dissecting the Mechanistic Dynamics of Modality Arbitration
80. NeurIPS 2026Interpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects
81. NeurIPS 2026Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
82. NeurIPS 2026Large Language Models Enhanced Covariate-adjusted Response-adaptive Randomization Design
83. NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
84. NeurIPS 2026Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
85. NeurIPS 2026Learning to Learn from Multimodal Experience
86. NeurIPS 2026Learning to Persuade a Biased Receiver
87. NeurIPS 2026Learning to Price with Persuasion
88. NeurIPS 2026Learning What to Predict: Downstream-Guided Task Design for Continued Pretraining
89. NeurIPS 2026Learning-Augmented Mechanism Design for Facility Location under $L_p$-Norm Social Costs
90. NeurIPS 2026LLM Judge Validation Under Sparse Overlap: From Inference to Design
91. NeurIPS 2026Locality-Controlled OOD Guidance for Robust Regulatory DNA Sequence Design
92. NeurIPS 2026Looped Diffusion Language Models
93. NeurIPS 2026Machine Learning-Driven RAG System Design
94. NeurIPS 2026Manifold Random Features
95. NeurIPS 2026Matching-Based Few-Shot Semantic Segmentation Models Are Interpretable by Design
96. NeurIPS 2026Maximin Robust Bayesian Experimental Design
97. NeurIPS 2026Mechanism Design for AI Overviews: Creator Incentives and Long-Term Profit
98. NeurIPS 2026Mechanistic Critics for Sample-Efficient NPU Design-Space Exploration
99. NeurIPS 2026Mitigating Overgeneralization in RND via Spectral Target Design
100. NeurIPS 2026Mixture-of-Top-$k$ Attention: Efficient Attention as Scalable Fast Weights

FAQ

How many Mechanism Design papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,037 in total: 140 in 2023, 200 in 2024, 271 in 2025, 426 in 2026.

How many Mechanism Design papers are at NeurIPS 2026?

NeurIPS 2026 has 175 Mechanism Design papers, versus 108 the year before.

How many Mechanism Design papers are at ICLR 2026?

ICLR 2026 has 65 Mechanism Design papers, versus 58 the year before.

How many Mechanism Design papers are at ICML 2026?

ICML 2026 has 128 Mechanism Design papers, versus 65 the year before.

How many Mechanism Design papers are at CVPR 2026?

CVPR 2026 has 58 Mechanism Design papers, versus 40 the year before.

Which conference publishes the most Mechanism Design papers?

NeurIPS, with 394 papers from 2023 to 2026.