Datasets and Benchmarks papers, 2023–2026

Key findings

• Datasets and Benchmarks went from 937 papers in 2023 to 1,991 in 2026, roughly 2.1x in three years.
• NeurIPS publishes the most Datasets and Benchmarks work: 1,935 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with AI Agents: papers tagged with both rose from 8 in 2023 to 194 in 2026.
• Among the 5 topics under Efficiency and Systems, it ranks #1 by 2026 paper count; the fastest grower in the group, Hardware-Aware ML, is up 4.4x versus 2.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

All Datasets and Benchmarks papers

1,582 papers, page 17 of 32

801. ICML 2025Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
802. ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
803. ICML 2025EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
804. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
805. ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
806. ICML 2025Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
807. ICML 2025Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
808. ICML 2025Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
809. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
810. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
811. ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
812. ICML 2025Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
813. ICML 2025From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
814. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
815. ICML 2025GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
816. ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
817. ICML 2025Gradient Boosting Reinforcement Learning
818. ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
819. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
820. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
821. ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
822. ICML 2025How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
823. ICML 2025How to set AdamW's weight decay as you scale model and dataset size
824. ICML 2025Identifiable Object Representations under Spatial Ambiguities
825. ICML 2025Idiosyncrasies in Large Language Models
826. ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
827. ICML 2025Impossible Videos
828. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
829. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
830. ICML 2025Improving the Effective Receptive Field of Message-Passing Neural Networks
831. ICML 2025Independence Tests for Language Models
832. ICML 2025Info-Coevolution: An Efficient Framework for Data Model Coevolution
833. ICML 2025Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
834. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
835. ICML 2025It's My Data Too: Private ML for Datasets with Multi-User Training Examples
836. ICML 2025ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset
837. ICML 2025Joint Localization and Activation Editing for Low-Resource Fine-Tuning
838. ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
839. ICML 2025Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage
840. ICML 2025KinDEL: DNA-Encoded Library Dataset for Kinase Inhibitors
841. ICML 2025Knowledge Swapping via Learning and Unlearning
842. ICML 2025LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
843. ICML 2025Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
844. ICML 2025Leveraging Offline Data in Linear Latent Contextual Bandits
845. ICML 2025Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
846. ICML 2025Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
847. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
848. ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
849. ICML 2025LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
850. ICML 2025LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

FAQ

How many Datasets and Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

5,856 in total: 937 in 2023, 1,346 in 2024, 1,582 in 2025, 1,991 in 2026.

How many Datasets and Benchmarks papers are at NeurIPS 2026?

NeurIPS 2026 has 623 Datasets and Benchmarks papers, versus 637 the year before.

How many Datasets and Benchmarks papers are at ICLR 2026?

ICLR 2026 has 635 Datasets and Benchmarks papers, versus 419 the year before.

How many Datasets and Benchmarks papers are at ICML 2026?

ICML 2026 has 275 Datasets and Benchmarks papers, versus 189 the year before.

How many Datasets and Benchmarks papers are at CVPR 2026?

CVPR 2026 has 458 Datasets and Benchmarks papers, versus 337 the year before.

Which conference publishes the most Datasets and Benchmarks papers?

NeurIPS, with 1,935 papers from 2023 to 2026.