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 6 of 8

251. NeurIPS 2025ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
252. NeurIPS 2025PubSub-VFL: Towards Efficient Two-Party Split Learning in Heterogeneous Environments via Publisher/Subscriber Architecture
253. NeurIPS 2025Rationalized All-Atom Protein Design with Unified Multi-Modal Bayesian Flow
254. NeurIPS 2025Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
255. NeurIPS 2025Reverse-Annealed Sequential Monte Carlo for Efficient Bayesian Optimal Experiment Design
256. NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
257. NeurIPS 2025Rope to Nope and Back Again: A New Hybrid Attention Strategy
258. NeurIPS 2025SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism
259. NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
260. NeurIPS 2025Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
261. NeurIPS 2025ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection
262. NeurIPS 2025Shapley-Coop: Credit Assignment for Emergent Cooperation in Self-Interested LLM Agents
263. NeurIPS 2025Smooth Quadratic Prediction Markets
264. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
265. NeurIPS 2025Social World Model-Augmented Mechanism Design Policy Learning
266. NeurIPS 2025Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention
267. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
268. NeurIPS 2025Spectral Conditioning of Attention Improves Transformer Performance
269. NeurIPS 2025Stochastic Principal-Agent Problems: Computing and Learning Optimal History-Dependent Policies
270. NeurIPS 2025Stochastically Dominant Peer Prediction
271. NeurIPS 2025Strassen Attention, Split VC Dimension and Compositionality in Transformers
272. NeurIPS 2025Strategyproof Reinforcement Learning from Human Feedback
273. NeurIPS 2025Tensor Product Attention Is All You Need
274. NeurIPS 2025TF-MAS: Training-free Mamba2 Architecture Search
275. NeurIPS 2025ToolRL: Reward is All Tool Learning Needs
276. NeurIPS 2025Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations
277. NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
278. NeurIPS 2025Towards Understanding the Mechanisms of Classifier-Free Guidance
279. NeurIPS 2025Truthful Aggregation of LLMs with an Application to Online Advertising
280. NeurIPS 2025Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
281. NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
282. NeurIPS 2025What are you sinking? A geometric approach on attention sink
283. NeurIPS 2025Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
284. NeurIPS 2024$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
285. NeurIPS 2024A theoretical design of concept sets: improving the predictability of concept bottleneck models
286. NeurIPS 2024Accelerating ERM for data-driven algorithm design using output-sensitive techniques
287. NeurIPS 2024Active learning of neural population dynamics using two-photon holographic optogenetics
288. NeurIPS 2024Adaptive Experimentation When You Can't Experiment
289. NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
290. NeurIPS 2024Amortized Bayesian Experimental Design for Decision-Making
291. NeurIPS 2024An Analysis of Elo Rating Systems via Markov Chains
292. NeurIPS 2024AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario
293. NeurIPS 2024Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
294. NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
295. NeurIPS 2024Average gradient outer product as a mechanism for deep neural collapse
296. NeurIPS 2024Bayesian Adaptive Calibration and Optimal Design
297. NeurIPS 2024Carrot and Stick: Eliciting Comparison Data and Beyond
298. NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
299. NeurIPS 2024Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
300. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets

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.