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 83 of 118

4101. ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
4102. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
4103. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
4104. ICLR 2024Safe Collaborative Filtering
4105. ICLR 2024Scalable Neural Network Kernels
4106. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
4107. ICLR 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
4108. ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
4109. ICLR 2024SmartPlay : A Benchmark for LLMs as Intelligent Agents
4110. ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
4111. ICLR 2024SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
4112. ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
4113. ICLR 2024SpaCE: The Spatial Confounding Environment
4114. ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
4115. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
4116. ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
4117. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
4118. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
4119. ICLR 2024Tangent Transformers for Composition,Privacy and Removal
4120. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
4121. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
4122. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
4123. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
4124. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
4125. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
4126. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
4127. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
4128. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
4129. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
4130. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
4131. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
4132. ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
4133. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
4134. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
4135. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
4136. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
4137. ICLR 2024Unsupervised Order Learning
4138. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
4139. ICLR 2024ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
4140. ICLR 2024VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
4141. ICLR 2024VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
4142. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
4143. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
4144. ICLR 2024WebArena: A Realistic Web Environment for Building Autonomous Agents
4145. ICLR 2024What's In My Big Data?
4146. ICLR 2024When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
4147. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild
4148. ICLR 2024Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
4149. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
4150. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts

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.