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

948 papers, page 7 of 19

301. ICML 2025CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
302. ICML 2025Clustering Properties of Self-Supervised Learning
303. ICML 2025CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes
304. ICML 2025Communicating Activations Between Language Model Agents
305. ICML 2025Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
306. ICML 2025Concentration Distribution Learning from Label Distributions
307. ICML 2025Concept Reachability in Diffusion Models: Beyond Dataset Constraints
308. ICML 2025Conservative Offline Goal-Conditioned Implicit V-Learning
309. ICML 2025Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion
310. ICML 2025CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
311. ICML 2025Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
312. ICML 2025CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
313. ICML 2025CTBench: A Library and Benchmark for Certified Training
314. ICML 2025DataDecide: How to Predict Best Pretraining Data with Small Experiments
315. ICML 2025Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
316. ICML 2025Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
317. ICML 2025Diverging Preferences: When do Annotators Disagree and do Models Know?
318. ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
319. ICML 2025Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
320. ICML 2025Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
321. ICML 2025EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
322. ICML 2025EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
323. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
324. ICML 2025Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation
325. ICML 2025Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
326. ICML 2025Enhancing Spectral GNNs: From Topology and Perturbation Perspectives
327. ICML 2025Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards
328. ICML 2025FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
329. ICML 2025Faster Approximation Algorithms for k-Center via Data Reduction
330. ICML 2025FG-CLIP: Fine-Grained Visual and Textual Alignment
331. ICML 2025Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
332. ICML 2025From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline
333. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
334. ICML 2025GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras
335. ICML 2025Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $\mu$ Parametrization
336. ICML 2025Gradient Boosting Reinforcement Learning
337. ICML 2025Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres
338. ICML 2025Heterogeneous Label Shift: Theory and Algorithm
339. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
340. ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
341. ICML 2025How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
342. ICML 2025How to set AdamW's weight decay as you scale model and dataset size
343. ICML 2025Identifiable Object Representations under Spatial Ambiguities
344. ICML 2025Idiosyncrasies in Large Language Models
345. ICML 2025Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
346. ICML 2025Impossible Videos
347. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
348. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
349. ICML 2025Improving the Effective Receptive Field of Message-Passing Neural Networks
350. ICML 2025Independence Tests for 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.