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

5,852 papers, page 25 of 118

1201. ICML 2026Geometry-Aware Dataset Condensation for Diffusion Model Training
1202. ICML 2026Geometry-Aware Decoding with Wasserstein-Regularized Truncation and Mass Penalties for Large Language Models
1203. ICML 2026GFedCL: Graph-Based Federated Continual Learning with Spatial and Temporal Awareness
1204. ICML 2026Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
1205. ICML 2026Graph Neural Dynamics via Learned Energy and Tangential Flows
1206. ICML 2026Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
1207. ICML 2026Hedging on the Frontier: Learning New Tasks with Few Samples
1208. ICML 2026HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
1209. ICML 2026HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling
1210. ICML 2026How Can Mamba Learn In Context with Outliers and Generalize Provably?
1211. ICML 2026How much can language models memorize?
1212. ICML 2026How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
1213. ICML 2026How to Correctly Report LLM-as-a-Judge Evaluations
1214. ICML 2026How to Price Data: A Market Equilibrium Based Approach
1215. ICML 2026Hyperbolic Multimodal Continual Learning
1216. ICML 2026IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension
1217. ICML 2026IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research
1218. ICML 2026Improved Bounds for Reward-Agnostic and Reward-Free Exploration
1219. ICML 2026Influence-Disentangled Federated Training: Learning Models That Are Easy to Unlearn
1220. ICML 2026InfraRL: A Benchmark for Constrained Resource Allocation in Large-Scale Infrastructure Asset Management
1221. ICML 2026Instance-Level Costs for Nuanced Classifier Evaluation
1222. ICML 2026Integrated Episodic and Semantic Memory via Modulating Transformer FeedForward Layers
1223. ICML 2026Interpretable Self-Supervised Learning via Representer Landmarks and Nyström Approximation
1224. ICML 2026Interpreting and Steering State-Space Models via Activation Subspace Bottlenecks
1225. ICML 2026Is Graph Mixup Beneficial? Investigating Interpolation And Empirical Performance of Graph Mixup Methods
1226. ICML 2026It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks
1227. ICML 2026L-CUBE: Isolating Long-Context Capacity from Knowledge with Controllable Mutual Information Scaling
1228. ICML 2026LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
1229. ICML 2026Learning Dynamic Stability Landscapes in Synchronization Networks
1230. ICML 2026Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
1231. ICML 2026Learning Junta Distributions, Quantum Junta States, and QAC$^0$ Circuits
1232. ICML 2026Learning Partial Concept Classes and Universal Rates Under Massart Noise
1233. ICML 2026Learning Permutation Distributions via Reflected Diffusion on Ranks
1234. ICML 2026Learning syntax without semantics: Disentangled tiny language models
1235. ICML 2026Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation
1236. ICML 2026Less Data, Faster Training: repeating smaller datasets speeds up learning via sampling biases
1237. ICML 2026LiveNewsBench: Evaluating Web Search Agents with Freshly Curated News
1238. ICML 2026LoBCD-GW: A Fast and Data-Dependent Algorithm for Computing Gromov-Wasserstein Distance via Localized Block Coordinate Descent
1239. ICML 2026Magnitude Distance: A Geometric Measure of Dataset Similarity
1240. ICML 2026MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
1241. ICML 2026Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
1242. ICML 2026Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach
1243. ICML 2026Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
1244. ICML 2026Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
1245. ICML 2026MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
1246. ICML 2026Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
1247. ICML 2026MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
1248. ICML 2026MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
1249. ICML 2026Modeling Attributional Style at Scale: A Dataset and Analysis for Psychological Attribution Assessment and Reframing
1250. ICML 2026MORE: A Multilingual Document Parsing Benchmark and Evaluation

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.