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

1,987 papers, page 33 of 40

1601. NeurIPS 2026Harnessing Data Asymmetry in Manifold Learning
1602. NeurIPS 2026Heavy-Tailed Flow Matching via Random Clocks
1603. NeurIPS 2026HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
1604. NeurIPS 2026Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking
1605. NeurIPS 2026Hidden Positives: Why Code Retrieval Benchmarks Underestimate Model Quality
1606. NeurIPS 2026Hierarchical Agglomerative Clustering via Relaxed Representatives
1607. NeurIPS 2026Hierarchical Graph Representation Learning with Pooling-Induced Substructures
1608. NeurIPS 2026High Performance Differentially Private Fine-Tuning using Dataset Distillation
1609. NeurIPS 2026High-Dimensional Conditional Independence Testing via Random Projection Aggregation
1610. NeurIPS 2026HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
1611. NeurIPS 2026Hint Tuning: Less Data Makes Better Reasoners
1612. NeurIPS 2026HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
1613. NeurIPS 2026How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
1614. NeurIPS 2026How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
1615. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
1616. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
1617. NeurIPS 2026How to Have a Sensitive Debate
1618. NeurIPS 2026HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation
1619. NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
1620. NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
1621. NeurIPS 2026Identification and Bounding of Joint Expectation over Potential Outcomes
1622. NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
1623. NeurIPS 2026Incorporating Neural Network Structure in the Bayesian Learning Rule
1624. NeurIPS 2026Independent Latents, Robust Neural Operators
1625. NeurIPS 2026Inference and estimation with unidentifiable latent treatment effects
1626. NeurIPS 2026Inferring learning rules in deep neural network architectures from animal learning data
1627. NeurIPS 2026Information Discernment in Large Language Models
1628. NeurIPS 2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
1629. NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
1630. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
1631. NeurIPS 2026InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
1632. NeurIPS 2026Inverse Linear Bandits via Linear Programs
1633. NeurIPS 2026Inverting Retargeting: Humanoid Datasets Remember Their Operators
1634. NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
1635. NeurIPS 2026Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
1636. NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
1637. NeurIPS 2026Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
1638. NeurIPS 2026Joint Learning of Hierarchical Neural Options and Abstract World Model
1639. NeurIPS 2026Jointly Reinforcing Diversity and Quality in Language Model Generations
1640. NeurIPS 2026JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
1641. NeurIPS 2026KiteNorm: Variance Regularisation for Stable and Scalable Post-LN Transformers
1642. NeurIPS 2026KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
1643. NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
1644. NeurIPS 2026L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
1645. NeurIPS 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
1646. NeurIPS 2026LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
1647. NeurIPS 2026Large Language Model Selection with Limited Annotations
1648. NeurIPS 2026Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
1649. NeurIPS 2026Lattice Deduction Transformers
1650. NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant

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.