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

623 papers, page 7 of 13

301. NeurIPS 2026LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation
302. NeurIPS 2026LittleLearner: Language Models Under Pedagogically-Controlled Knowledge Exposure
303. NeurIPS 2026LLMs can construct powerful representations and streamline sample-efficient supervised learning
304. NeurIPS 2026Log-Likelihood, Simpson’s Paradox, and the Detection of Machine-Generated Text
305. NeurIPS 2026Logical Distillation of Transformer Encoders
306. NeurIPS 2026Looped Diffusion Language Models
307. NeurIPS 2026LoopNav: Benchmarking Spatial Consistency in World Models
308. NeurIPS 2026Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment
309. NeurIPS 2026LSC-Parlament: An Automatically Aligned Catalan Sign Language Dataset from Parliament Videos.
310. NeurIPS 2026Magnitude-preserving Layers Enable Efficient GANs
311. NeurIPS 2026Marginal-Nonuniform Multiclass Learning
312. NeurIPS 2026Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
313. NeurIPS 2026Masked Generative Pretraining Improves Cross-Dataset Transfer in Pixel-Space Diffusion
314. NeurIPS 2026Matching-while-Decoding: Enhancing Template-Free Retrosynthesis via Explicit Structural Alignment
315. NeurIPS 2026Matrix-Free Natural Gradient via Stochastic Truncated Metrics
316. NeurIPS 2026MaxIM: Maximally Informative Incremental Summarization via Reinforcement Learning
317. NeurIPS 2026Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors
318. NeurIPS 2026Measuring Coherence in Predictive Models
319. NeurIPS 2026Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models
320. NeurIPS 2026MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping
321. NeurIPS 2026MEME: Multi-Entity & Evolving Memory Evaluation
322. NeurIPS 2026Mesh-Free Convolution: Learned Spectral Attenuation and Transport
323. NeurIPS 2026Metropolis-Adjusted Diffusion Models
324. NeurIPS 2026Metropolis-Scale Road Network Datasets for Fine-Grained Urban Traffic Modeling
325. NeurIPS 2026MEV: A Multi-Event Video Dataset for Long-Take Generation
326. NeurIPS 2026Mind the Gap: Dataset and Fine-grained Evaluation for Inline Audio Descriptions
327. NeurIPS 2026Mitigating Over-squashing without Rewiring: A Sheaf Effective Resistance Perspective
328. NeurIPS 2026MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
329. NeurIPS 2026MLLMs Fail to Refuse when Using Tools Agentically
330. NeurIPS 2026MM-DyGraph: A Dataset, Benchmark, and Model for Multimodal Dynamic Graphs
331. NeurIPS 2026Model Capacity Determines Grokking through Competing Memorisation and Generalisation Speeds
332. NeurIPS 2026Model Distribution-Aware Multimodal Dataset Distillation
333. NeurIPS 2026Model-based Bootstrap of Controlled Markov Chains
334. NeurIPS 2026ModelLens: Finding the Best for Your Task from Myriads of Models
335. NeurIPS 2026Monoculture Robust Learning
336. NeurIPS 2026MonoPhysics: Estimating Geometry, Appearance, and Physical Parameters from Monocular Videos
337. NeurIPS 2026Monroe: A Molecular Foundation Model for In-context Probabilistic Inference
338. NeurIPS 2026MoSE3: Learning World-Space SE(3) at Every Pixel
339. NeurIPS 2026MSAlign: Aligning Molecular and Mass Spectra Foundation Models for Metabolite Identification
340. NeurIPS 2026MSConsensus: A Hundred-Million-Scale, Batch-Effect–Suppressed Dataset and Benchmark for Proteomics Machine Learning
341. NeurIPS 2026Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-Site Wearables
342. NeurIPS 2026Multiclass Classification with Rare Useful Features: Fundamental Limits and the Optimality of Diversity Pursuit Higher Criticism
343. NeurIPS 2026NanoFold: Designing Reproducible Protein Structure Benchmarks through Principled Sampling
344. NeurIPS 2026Nautilus: From One Prompt to Plug-and-Play Robot Learning
345. NeurIPS 2026Near-Optimal Stochastic Linear Bandits with Delay
346. NeurIPS 2026NEST: Nascent Encoded Steganographic Thoughts
347. NeurIPS 2026NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Model
348. NeurIPS 2026Neural Dual Bounds: Valid-by-Construction JGLP Warm-Starts for MAP and Constrained MAP
349. NeurIPS 2026Neural Optimal Transport in Hilbert Spaces
350. NeurIPS 2026New Coresets for Fair Clustering

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.