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

1,346 papers, page 9 of 27

401. ICLR 2024COLLIE: Systematic Construction of Constrained Text Generation Tasks
402. ICLR 2024CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
403. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
404. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
405. ICLR 2024Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
406. ICLR 2024Consistent Multi-Class Classification from Multiple Unlabeled Datasets
407. ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
408. ICLR 2024Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
409. ICLR 2024Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
410. ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
411. ICLR 2024Data Filtering Networks
412. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
413. ICLR 2024Defining and extracting generalizable interaction primitives from DNNs
414. ICLR 2024DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
415. ICLR 2024Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
416. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
417. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
418. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
419. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
420. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
421. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
422. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
423. ICLR 2024Effective pruning of web-scale datasets based on complexity of concept clusters
424. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
425. ICLR 2024Efficiently Computing Similarities to Private Datasets
426. ICLR 2024Embarrassingly Simple Dataset Distillation
427. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
428. ICLR 2024Energy-based Automated Model Evaluation
429. ICLR 2024Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
430. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
431. ICLR 2024Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
432. ICLR 2024EQA-MX: Embodied Question Answering using Multimodal Expression
433. ICLR 2024Evaluating Language Model Agency Through Negotiations
434. ICLR 2024Evaluating Large Language Models at Evaluating Instruction Following
435. ICLR 2024EX-Graph: A Pioneering Dataset Bridging Ethereum and X
436. ICLR 2024Explaining Time Series via Contrastive and Locally Sparse Perturbations
437. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
438. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
439. ICLR 2024FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
440. ICLR 2024Ferret: Refer and Ground Anything Anywhere at Any Granularity
441. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
442. ICLR 2024FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
443. ICLR 2024FOSI: Hybrid First and Second Order Optimization
444. ICLR 2024Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
445. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
446. ICLR 2024GAIA: a benchmark for General AI Assistants
447. ICLR 2024Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
448. ICLR 2024GIO: Gradient Information Optimization for Training Dataset Selection
449. ICLR 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
450. ICLR 2024GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

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.