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

1,346 papers, page 12 of 27

551. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
552. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
553. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
554. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
555. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
556. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
557. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
558. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
559. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
560. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
561. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
562. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
563. ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
564. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
565. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
566. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
567. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
568. ICLR 2024Unsupervised Order Learning
569. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
570. ICLR 2024ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
571. ICLR 2024VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
572. ICLR 2024VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
573. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
574. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
575. ICLR 2024WebArena: A Realistic Web Environment for Building Autonomous Agents
576. ICLR 2024What's In My Big Data?
577. ICLR 2024When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
578. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild
579. ICLR 2024Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
580. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
581. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
582. ICML 2024A Closer Look at the Limitations of Instruction Tuning
583. ICML 2024A connection between Tempering and Entropic Mirror Descent
584. ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
585. ICML 2024A Dynamical Model of Neural Scaling Laws
586. ICML 2024A Field Guide for Pacing Budget and ROS Constraints
587. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
588. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
589. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
590. ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
591. ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
592. ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
593. ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
594. ICML 2024A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
595. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
596. ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
597. ICML 2024Active Statistical Inference
598. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
599. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
600. ICML 2024Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

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.