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 5 of 6

201. ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
202. ICML 2024Characterizing ResNet's Universal Approximation Capability
203. ICML 2024Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
204. ICML 2024Controlled Decoding from Language Models
205. ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
206. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
207. ICML 2024DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
208. ICML 2024Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
209. ICML 2024Environment Design for Inverse Reinforcement Learning
210. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
211. ICML 2024Faithfulness Measurable Masked Language Models
212. ICML 2024Full-Atom Peptide Design based on Multi-modal Flow Matching
213. ICML 2024Fundamental Limitations of Alignment in Large Language Models
214. ICML 2024Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
215. ICML 2024GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
216. ICML 2024Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
217. ICML 2024How Does Goal Relabeling Improve Sample Efficiency?
218. ICML 2024How Interpretable Are Interpretable Graph Neural Networks?
219. ICML 2024How Private are DP-SGD Implementations?
220. ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
221. ICML 2024Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
222. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
223. ICML 2024Incentivized Learning in Principal-Agent Bandit Games
224. ICML 2024KernelWarehouse: Rethinking the Design of Dynamic Convolution
225. ICML 2024Learning Linear Block Error Correction Codes
226. ICML 2024Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
227. ICML 2024Mechanistic Design and Scaling of Hybrid Architectures
228. ICML 2024MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
229. ICML 2024More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
230. ICML 2024Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
231. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
232. ICML 2024Neural NeRF Compression
233. ICML 2024Neural-Kernel Conditional Mean Embeddings
234. ICML 2024On the Nonlinearity of Layer Normalization
235. ICML 2024On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
236. ICML 2024Partially Stochastic Infinitely Deep Bayesian Neural Networks
237. ICML 2024PASOA- PArticle baSed Bayesian Optimal Adaptive design
238. ICML 2024Position: Building Guardrails for Large Language Models Requires Systematic Design
239. ICML 2024PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
240. ICML 2024Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
241. ICML 2024Privacy Preserving Adaptive Experiment Design
242. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
243. ICML 2024Projecting Molecules into Synthesizable Chemical Spaces
244. ICML 2024Prompting a Pretrained Transformer Can Be a Universal Approximator
245. ICML 2024Receptive Fields As Experts in Convolutional Neural Architectures
246. ICML 2024Refining Minimax Regret for Unsupervised Environment Design
247. ICML 2024Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
248. ICML 2024Replicable Learning of Large-Margin Halfspaces
249. ICML 2024RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching
250. ICML 2024Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup

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.