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

275 papers, page 5 of 6

201. ICML 2026Rethinking Personalization in Large Language Models at the Token Level
202. ICML 2026Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
203. ICML 2026Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
204. ICML 2026Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
205. ICML 2026Revisiting the Volume Hypothesis
206. ICML 2026Richer Bayesian Last Layers with Subsampled NTK Features
207. ICML 2026Riemannian Neural Optimal Transport
208. ICML 2026RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
209. ICML 2026ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
210. ICML 2026Routing and Reasoned Evaluation with Large Language Models
211. ICML 2026RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
212. ICML 2026SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
213. ICML 2026Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
214. ICML 2026Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms
215. ICML 2026Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
216. ICML 2026scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
217. ICML 2026Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
218. ICML 2026Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
219. ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
220. ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
221. ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
222. ICML 2026SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
223. ICML 2026Simple Denoising Diffusion Language Models
224. ICML 2026SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
225. ICML 2026Sparse and Faithful Local Explanations with Piecewise Linear Surrogates
226. ICML 2026Sparse Autoencoders are Topic Models
227. ICML 2026Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
228. ICML 2026SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
229. ICML 2026SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
230. ICML 2026Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
231. ICML 2026STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
232. ICML 2026Strategic Candidacy in Generative AI Arenas
233. ICML 2026Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
234. ICML 2026Stronger Benchmarks for Prediction as a Service with Constraints
235. ICML 2026Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
236. ICML 2026SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
237. ICML 2026Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
238. ICML 2026TabICLv2: A Better, Faster, Scalable, and Open Tabular Foundation Model
239. ICML 2026TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
240. ICML 2026Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
241. ICML 2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
242. ICML 2026The Illusion of Generalization in Tabular Language Models
243. ICML 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
244. ICML 2026Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
245. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
246. ICML 2026TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
247. ICML 2026Topology-Aware Contrastive Learning: Regulating Representation Connectivity via Persistent Homology
248. ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
249. ICML 2026Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
250. ICML 2026Trajectory Seriation via Spectral Tangent Alignment and Global Embedding

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.