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

295 papers, page 2 of 6

51. ICML 2026From Welfare to Utility: Generalized Objectives in Budget-Feasible Procurement
52. ICML 2026Generative Inverse Design with Abstention via Diagonal Flow Matching
53. ICML 2026GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy
54. ICML 2026GuidedBridge: Training-freely Improving Bridge Models with Prior Guidance
55. ICML 2026Head-in-Head in Linear Attention
56. ICML 2026Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization
57. ICML 2026Hierarchical Representations for Cross-task Automated Heuristic Design using LLMs
58. ICML 2026How Transformers Represent Hierarchies: A Local-to-Global Mechanism
59. ICML 2026Ideal Attribution and Faithful Watermarks for Language Models
60. ICML 2026Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
61. ICML 2026Is Your LLM Overcharging You? Tokenization, Transparency, and Incentives
62. ICML 2026JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference
63. ICML 2026Knowing Who, Not How Much: Learning-Augmented Mechanisms for Consumer Utility Maximization
64. ICML 2026Krause Synchronization Transformers
65. ICML 2026Leaderboard Incentives: Model Rankings under Strategic Post-Training
66. ICML 2026Learning Adaptive Topology with FiLM-Guided Distillation for Tertiary Structure-Based RNA Design
67. ICML 2026LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
68. ICML 2026Local Mechanisms of Compositional Generalization in Conditional Diffusion
69. ICML 2026MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
70. ICML 2026Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
71. ICML 2026Mind the Gap: Mixtures of Gaussians in Approximate Differential Privacy
72. ICML 2026Mitigating Plasticity Loss through Architectural Design in Continual Learning
73. ICML 2026Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
74. ICML 2026Multi-Level Strategic Classification: Incentivizing Improvement through Promotion and Relegation Dynamics
75. ICML 2026Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
76. ICML 2026Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
77. ICML 2026No More, No Less: Least-Privilege Language Models
78. ICML 2026Nonlinear Covariate Balance in Experimental Design
79. ICML 2026On Structured State-Space Duality
80. ICML 2026On the Coordination of Value-Maximizing Bidders
81. ICML 2026Online Bayesian Experimental Design for Partially Observed Dynamical Systems
82. ICML 2026Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
83. ICML 2026Overcoming the Incentive Collapse Paradox
84. ICML 2026PACE: Parameter Change for Unsupervised Environment Design
85. ICML 2026PathWise: Planning through World Model for Automated Heuristic Design via Self-Evolving LLMs
86. ICML 2026PDFBench: A Benchmark for De Novo Protein Design from Function
87. ICML 2026Practical Mechanism for Fault-Tolerant Spiking Neural Networks via Simple Input Control Based on Learnable Fragmentation
88. ICML 2026Principled SVD-based Delta Compression via Quantization Error Minimization
89. ICML 2026ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
90. ICML 2026Prototype Transformer: Towards Language Model Architectures Interpretable by Design
91. ICML 2026Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
92. ICML 2026Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation
93. ICML 2026RAT+: Train Dense, Infer Sparse - Recurrence Augmented Attention for Dilated Inference
94. ICML 2026ReNF: Rethinking the Design of Neural Long-Term Time Series Forecasters
95. ICML 2026Resting Neurons, Active Insights: Robustifying Activation Sparsity in LLMs via Spontaneity
96. ICML 2026Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate
97. ICML 2026Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
98. ICML 2026Revenue Guarantees of No-Swap-Regret Dynamics in First Price Auctions
99. ICML 2026Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
100. ICML 2026Robust Sequential Experimental Design for A/B Testing

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.