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

1,935 papers, page 6 of 39

251. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
252. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
253. NeurIPS 2026How to Have a Sensitive Debate
254. NeurIPS 2026HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation
255. NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
256. NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
257. NeurIPS 2026Identification and Bounding of Joint Expectation over Potential Outcomes
258. NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
259. NeurIPS 2026Incorporating Neural Network Structure in the Bayesian Learning Rule
260. NeurIPS 2026Independent Latents, Robust Neural Operators
261. NeurIPS 2026Inference and estimation with unidentifiable latent treatment effects
262. NeurIPS 2026Inferring learning rules in deep neural network architectures from animal learning data
263. NeurIPS 2026Information Discernment in Large Language Models
264. NeurIPS 2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
265. NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
266. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
267. NeurIPS 2026InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
268. NeurIPS 2026Inverse Linear Bandits via Linear Programs
269. NeurIPS 2026Inverting Retargeting: Humanoid Datasets Remember Their Operators
270. NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
271. NeurIPS 2026Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
272. NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
273. NeurIPS 2026Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
274. NeurIPS 2026Joint Learning of Hierarchical Neural Options and Abstract World Model
275. NeurIPS 2026Jointly Reinforcing Diversity and Quality in Language Model Generations
276. NeurIPS 2026JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
277. NeurIPS 2026KiteNorm: Variance Regularisation for Stable and Scalable Post-LN Transformers
278. NeurIPS 2026KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
279. NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
280. NeurIPS 2026L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
281. NeurIPS 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
282. NeurIPS 2026LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
283. NeurIPS 2026Large Language Model Selection with Limited Annotations
284. NeurIPS 2026Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
285. NeurIPS 2026Lattice Deduction Transformers
286. NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
287. NeurIPS 2026LCD$^3$: Layout-Conditioned Diffusion for Dataset Distillation in Object Detection
288. NeurIPS 2026Leak-CURBER: A Leakage-Controlled Multimodal Evaluation Benchmark for Enzymatic Reaction Tasks
289. NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
290. NeurIPS 2026Learning Event-to-Field Operators Without Interpolation
291. NeurIPS 2026Learning How to Cube
292. NeurIPS 2026Learning Modular Addition with Auxiliary Modulus
293. NeurIPS 2026Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection
294. NeurIPS 2026Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable
295. NeurIPS 2026Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
296. NeurIPS 2026Ledger: A Path-Validated, Database-Grounded Benchmark for Enterprise Web Agents
297. NeurIPS 2026Less is More: Fewer Tokens and Blocks Make AIGI Detection Faster and More Generalizable
298. NeurIPS 2026Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
299. NeurIPS 2026Leviathan: Decoupling Input and Output Representations in Language Models
300. NeurIPS 2026Lipschitz Dueling Bandits over Continuous Action Spaces

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.