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

394 papers, page 3 of 8

101. NeurIPS 2026Monoculture Robust Learning
102. NeurIPS 2026Morpho-Temporal Decoupling: How Primate Neurons Expand Dendrites Without Losing Speed
103. NeurIPS 2026Multi-Oracle Agreement Reveals the Limits of Self-Consistency Evaluation in RNA Design
104. NeurIPS 2026Muon Does Not Converge on Convex Lipschitz Functions
105. NeurIPS 2026Natural-Language-Guided Protein Generation for Ligand-Binding Design
106. NeurIPS 2026Nearly Optimal Attention Coresets
107. NeurIPS 2026Network of Theseus (Like the ship)
108. NeurIPS 2026Neural Expansion: A Unified Mechanism for How Deep Neural Network Generalize
109. NeurIPS 2026Neural-Corrected Operator Learning for Homogenization and Inverse Design
110. NeurIPS 2026OmniMechanism Design for Human-AI Collaboration with Impressionable Minds
111. NeurIPS 2026On Differentially Private Mechanisms for Linear Regression
112. NeurIPS 2026On the Meta-Design of Allocation Problems
113. NeurIPS 2026On the Selectivity of Generative Models in Structure-Based Drug Design
114. NeurIPS 2026One Temperature to Rule Them All?
115. NeurIPS 2026Optimal Linear Regression Without a Variance
116. NeurIPS 2026Ordinary Least Squares as an Attention Mechanism
117. NeurIPS 2026Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design
118. NeurIPS 2026PDE-PFN: Prior-Data Fitted Neural PDE Solver
119. NeurIPS 2026PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios
120. NeurIPS 2026Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
121. NeurIPS 2026Position Without Positional Embeddings: A Directional Mechanism in NoPE Transformers
122. NeurIPS 2026Principled Design of Diffusion-based Optimizers for Inverse Problems
123. NeurIPS 2026Prism Attention: Proposal-Refined Index Sharing Mechanism for Efficient LLMs Inference
124. NeurIPS 2026Privacy by Postprocessing the Discrete Laplace Mechanism
125. NeurIPS 2026Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
126. NeurIPS 2026Profit Maximization in Bilateral Trade against a Smooth Adversary
127. NeurIPS 2026ProteinOPD: Towards Effective and Efficient Preference Alignment for Protein Design
128. NeurIPS 2026Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
129. NeurIPS 2026Refactoring Code Through Library Design
130. NeurIPS 2026Regret Minimization in Single-Dimensional Contract-Design with Binary Actions
131. NeurIPS 2026Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
132. NeurIPS 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review
133. NeurIPS 2026Richer or More Gates? Fan-In Trade-offs in Learnable Logic Circuits
134. NeurIPS 2026Robust-by-Design Distributional Learning from Contaminated Samples
135. NeurIPS 2026Same Function, Different Mechanism: Implementation-Local Geometry Beyond Accuracy
136. NeurIPS 2026Sample Size Design for Bounds on Discrete Probabilities of Causation
137. NeurIPS 2026Scattered by Design: Why Per-Output Pruning Resists Structured Compression
138. NeurIPS 2026Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models
139. NeurIPS 2026Selectivity and Shape in the Design of Forward-Forward Goodness Functions
140. NeurIPS 2026Selectivity Makes State-Space Models Universal Sequence Approximators
141. NeurIPS 2026Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
142. NeurIPS 2026Settling Pure Differentially Private Covariance Estimation
143. NeurIPS 2026Shared-Noise Mechanisms for Verifiable Differentially Private Counting
144. NeurIPS 2026SimpleEvol: Efficient Intelligence Conversion via Less Human Prior in Automated Heuristic Design
145. NeurIPS 2026Simplifying Transformer-Based U-Net Neural Physics Simulators
146. NeurIPS 2026Simultaneous Gradient Learning in First-Price Auctions
147. NeurIPS 2026Sink vs. diagonal patterns as mechanisms for attention switch and oversmoothing prevention
148. NeurIPS 2026Spherical Bayesian Experimental Design for Active View Selection in 3D Gaussian Splatting
149. NeurIPS 2026Spike-to-Field Mechanisms of Turbulence-Like Dynamics in Spatial Spiking Neural Networks
150. NeurIPS 2026Sponsored Questions and How to Auction Them

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.