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 82 of 118

4051. ICLR 2024Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
4052. ICLR 2024LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
4053. ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
4054. ICLR 2024LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
4055. ICLR 2024Measuring Vision-Language STEM Skills of Neural Models
4056. ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
4057. ICLR 2024MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
4058. ICLR 2024MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
4059. ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
4060. ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
4061. ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
4062. ICLR 2024Momentum Benefits Non-iid Federated Learning Simply and Provably
4063. ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
4064. ICLR 2024Multisize Dataset Condensation
4065. ICLR 2024MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
4066. ICLR 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
4067. ICLR 2024Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
4068. ICLR 2024NEFTune: Noisy Embeddings Improve Instruction Finetuning
4069. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
4070. ICLR 2024Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
4071. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
4072. ICLR 2024Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
4073. ICLR 2024New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
4074. ICLR 2024Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
4075. ICLR 2024On Harmonizing Implicit Subpopulations
4076. ICLR 2024On the Joint Interaction of Models, Data, and Features
4077. ICLR 2024Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
4078. ICLR 2024OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
4079. ICLR 2024OWL: A Large Language Model for IT Operations
4080. ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
4081. ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
4082. ICLR 2024PeFLL: Personalized Federated Learning by Learning to Learn
4083. ICLR 2024PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
4084. ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
4085. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
4086. ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
4087. ICLR 2024Proving Test Set Contamination in Black-Box Language Models
4088. ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
4089. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
4090. ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
4091. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
4092. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
4093. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
4094. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
4095. ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
4096. ICLR 2024Repelling Random Walks
4097. ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
4098. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
4099. ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
4100. ICLR 2024RETSim: Resilient and Efficient Text Similarity

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.