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 6 of 19

251. ICML 2026UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
252. ICML 2026Uncovering Competency Gaps in Large Language Models and Their Benchmarks
253. ICML 2026Understanding Data Temporality Impact on Large Language Models Pre-training
254. ICML 2026Understanding Generalization from Embedding Dimension and Distributional Convergence
255. ICML 2026Unified Time Series Explanations via Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation
256. ICML 2026Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
257. ICML 2026Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression
258. ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
259. ICML 2026UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
260. ICML 2026Unlocking the Potential of Continual Model Merging: An ODE Perspective
261. ICML 2026Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
262. ICML 2026UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
263. ICML 2026Utility Boundary of Dataset Distillation: Scaling and Coverage Laws
264. ICML 2026VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
265. ICML 2026Vector Linking via Cross-Model Local Isometric Consistency
266. ICML 2026VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
267. ICML 2026WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
268. ICML 2026WeightCLIP: Aligning Datasets and Models for Weight Space Learning
269. ICML 2026WF-Bench: A Benchmark for Neural-Network WaveFunction Expressivity and Scaling Laws
270. ICML 2026What Language is This? Ask Your Tokenizer.
271. ICML 2026When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
272. ICML 2026When Can We Trust Survival Model Evaluation ?
273. ICML 2026When Do Diffusion Models Learn to Generate Multiple Objects?
274. ICML 2026When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
275. ICML 2026Why Self-Distillation Helps and Hurts: Denoising vs. Signal Forgetting
276. ICML 2025A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
277. ICML 2025A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity
278. ICML 2025AAAR-1.0: Assessing AI’s Potential to Assist Research
279. ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
280. ICML 2025Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
281. ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
282. ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
283. ICML 2025Adversarial Robustness via Deformable Convolution with Stochasticity
284. ICML 2025AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
285. ICML 2025Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
286. ICML 2025Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
287. ICML 2025Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
288. ICML 2025Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
289. ICML 2025Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
290. ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
291. ICML 2025Average Sensitivity of Hierarchical $k$-Median Clustering
292. ICML 2025Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
293. ICML 2025Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
294. ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
295. ICML 2025Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
296. ICML 2025Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts
297. ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
298. ICML 2025Catching Two Birds with One Stone: Reward Shaping with Dual Random Networks for Balancing Exploration and Exploitation
299. ICML 2025Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
300. ICML 2025Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

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.