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

1,037 papers, page 16 of 21

751. ICLR 2024Learning to design protein-protein interactions with enhanced generalization
752. ICLR 2024Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
753. ICLR 2024Local Search GFlowNets
754. ICLR 2024Online Information Acquisition: Hiring Multiple Agents
755. ICLR 2024Privacy Amplification for Matrix Mechanisms
756. ICLR 2024Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
757. ICLR 2024RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
758. ICLR 2024RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
759. ICLR 2024Scalable Neural Network Kernels
760. ICLR 2024Stochastic Modified Equations and Dynamics of Dropout Algorithm
761. ICLR 2024Unraveling the Key Components of OOD Generalization via Diversification
762. ICML 2024A Contextual Combinatorial Bandit Approach to Negotiation
763. ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
764. ICML 2024Adaptive Online Experimental Design for Causal Discovery
765. ICML 2024Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints
766. ICML 2024Bayesian Design Principles for Offline-to-Online Reinforcement Learning
767. ICML 2024Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
768. ICML 2024Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
769. ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
770. ICML 2024Characterizing ResNet's Universal Approximation Capability
771. ICML 2024Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
772. ICML 2024Controlled Decoding from Language Models
773. ICML 2024Data-free Neural Representation Compression with Riemannian Neural Dynamics
774. ICML 2024Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget
775. ICML 2024DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
776. ICML 2024Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
777. ICML 2024Environment Design for Inverse Reinforcement Learning
778. ICML 2024Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
779. ICML 2024Faithfulness Measurable Masked Language Models
780. ICML 2024Full-Atom Peptide Design based on Multi-modal Flow Matching
781. ICML 2024Fundamental Limitations of Alignment in Large Language Models
782. ICML 2024Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
783. ICML 2024GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
784. ICML 2024Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design
785. ICML 2024How Does Goal Relabeling Improve Sample Efficiency?
786. ICML 2024How Interpretable Are Interpretable Graph Neural Networks?
787. ICML 2024How Private are DP-SGD Implementations?
788. ICML 2024ILILT: Implicit Learning of Inverse Lithography Technologies
789. ICML 2024Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks
790. ICML 2024Improving Sharpness-Aware Minimization by Lookahead
791. ICML 2024Incentivized Learning in Principal-Agent Bandit Games
792. ICML 2024KernelWarehouse: Rethinking the Design of Dynamic Convolution
793. ICML 2024Learning Linear Block Error Correction Codes
794. ICML 2024Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
795. ICML 2024Mechanistic Design and Scaling of Hybrid Architectures
796. ICML 2024MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
797. ICML 2024More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms
798. ICML 2024Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
799. ICML 2024Nesting Particle Filters for Experimental Design in Dynamical Systems
800. ICML 2024Neural NeRF Compression

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.