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

1,432 papers, page 25 of 29

1201. ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
1202. ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
1203. ICLR 2024PeFLL: Personalized Federated Learning by Learning to Learn
1204. ICLR 2024PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
1205. ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
1206. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
1207. ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
1208. ICLR 2024Proving Test Set Contamination in Black-Box Language Models
1209. ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
1210. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
1211. ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
1212. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
1213. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
1214. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
1215. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
1216. ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
1217. ICLR 2024Repelling Random Walks
1218. ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
1219. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
1220. ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
1221. ICLR 2024RETSim: Resilient and Efficient Text Similarity
1222. ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
1223. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
1224. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
1225. ICLR 2024Safe Collaborative Filtering
1226. ICLR 2024Scalable Neural Network Kernels
1227. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
1228. ICLR 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
1229. ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
1230. ICLR 2024SmartPlay : A Benchmark for LLMs as Intelligent Agents
1231. ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
1232. ICLR 2024SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
1233. ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
1234. ICLR 2024SpaCE: The Spatial Confounding Environment
1235. ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
1236. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
1237. ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
1238. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
1239. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
1240. ICLR 2024Tangent Transformers for Composition,Privacy and Removal
1241. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
1242. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
1243. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
1244. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
1245. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
1246. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
1247. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
1248. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
1249. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
1250. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

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.