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

200 papers, page 4 of 4

151. NeurIPS 2024DOFEN: Deep Oblivious Forest ENsemble
152. NeurIPS 2024Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks
153. NeurIPS 2024Efficiency of the First-Price Auction in the Autobidding World
154. NeurIPS 2024Evaluating the design space of diffusion-based generative models
155. NeurIPS 2024Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering
156. NeurIPS 2024Fair Allocation in Dynamic Mechanism Design
157. NeurIPS 2024Fast Proxy Experiment Design for Causal Effect Identification
158. NeurIPS 2024Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning
159. NeurIPS 2024Full-Atom Peptide Design with Geometric Latent Diffusion
160. NeurIPS 2024Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming
161. NeurIPS 2024Generalized Linear Bandits with Limited Adaptivity
162. NeurIPS 2024Generating Highly Designable Proteins with Geometric Algebra Flow Matching
163. NeurIPS 2024Gliding over the Pareto Front with Uniform Designs
164. NeurIPS 2024Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability
165. NeurIPS 2024Identifying General Mechanism Shifts in Linear Causal Representations
166. NeurIPS 2024IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
167. NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
168. NeurIPS 2024Improving Environment Novelty Quantification for Effective Unsupervised Environment Design
169. NeurIPS 2024Knowledge Circuits in Pretrained Transformers
170. NeurIPS 2024Learning Optimal Tax Design in Nonatomic Congestion Games
171. NeurIPS 2024Learning Superconductivity from Ordered and Disordered Material Structures
172. NeurIPS 2024MAC Advice for facility location mechanism design
173. NeurIPS 2024Mechanism design augmented with output advice
174. NeurIPS 2024MeLLoC: Lossless Compression with High-order Mechanism Learning
175. NeurIPS 2024Molecule Design by Latent Prompt Transformer
176. NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
177. NeurIPS 2024NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
178. NeurIPS 2024NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
179. NeurIPS 2024No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices
180. NeurIPS 2024On the Computational Complexity of Private High-dimensional Model Selection
181. NeurIPS 2024On the Role of Attention Masks and LayerNorm in Transformers
182. NeurIPS 2024Optimal Batched Best Arm Identification
183. NeurIPS 2024Optimal Design for Human Preference Elicitation
184. NeurIPS 2024Optimization Algorithm Design via Electric Circuits
185. NeurIPS 2024Plant-and-Steal: Truthful Fair Allocations via Predictions
186. NeurIPS 2024PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond
187. NeurIPS 2024ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
188. NeurIPS 2024Qualitative Mechanism Independence
189. NeurIPS 2024Randomized Strategic Facility Location with Predictions
190. NeurIPS 2024Randomized Truthful Auctions with Learning Agents
191. NeurIPS 2024Representation Noising: A Defence Mechanism Against Harmful Finetuning
192. NeurIPS 2024Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations
193. NeurIPS 2024Strategic Linear Contextual Bandits
194. NeurIPS 2024Targeted Sequential Indirect Experiment Design
195. NeurIPS 2024Truthful High Dimensional Sparse Linear Regression
196. NeurIPS 2024Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
197. NeurIPS 2024Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms
198. NeurIPS 2024Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
199. NeurIPS 2024What Makes Partial-Label Learning Algorithms Effective?
200. NeurIPS 2024Why Warmup the Learning Rate? Underlying Mechanisms and Improvements

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.