Datasets and Benchmarks papers, 2023–2026
New datasets and evaluation protocols
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 5,856 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 227 | 162 | 166 | 382 | 937 |
| 2024 | 448 | 216 | 318 | 364 | 1,346 |
| 2025 | 637 | 419 | 189 | 337 | 1,582 |
| 2026 | 623 | 635 | 275 | 458 | 1,991 |
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 2 of 39
- NeurIPS 2026As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does
- NeurIPS 2026ASO Atlas 2.0: Evaluating antisense oligonucleotide prediction across the preclinical pipeline
- NeurIPS 2026AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
- NeurIPS 2026Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
- NeurIPS 2026Attention Sinks and Outliers in Attention Residuals
- NeurIPS 2026Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions
- NeurIPS 2026Auditing Conformal Prediction for Language Models Under Inference-Time Model Shift
- NeurIPS 2026Auditing Evidence Framing at NeurIPS: A Decade-Scale Study of Accepted Papers
- NeurIPS 2026Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases
- NeurIPS 2026AutoHoney: Automating, Deploying, and Evaluating Scheming Honeypots Across Production Codebases
- NeurIPS 2026Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
- NeurIPS 2026Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
- NeurIPS 2026AVENUE: Audio-Video Editing Understanding and Evaluation
- NeurIPS 2026AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
- NeurIPS 2026B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
- NeurIPS 2026B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
- NeurIPS 2026Bandits via Additive Quantized Representations
- NeurIPS 2026BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
- NeurIPS 2026BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition
- NeurIPS 2026BayesJudge: Uncertainty-Aware Bayesian Meta-Evaluation of Human and LLM Judgments
- NeurIPS 2026Bellman Contraction under MMD: A Unified Framework
- NeurIPS 2026Benchmark Shadows: How Data Regimes Shape Parameter Footprints and Generalization
- NeurIPS 2026Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
- NeurIPS 2026Benchmarking and Optimizing Multimodal Structured Generation: The OracleGraph Dataset and PRISM Framework
- NeurIPS 2026Benchmarking Graph Self-Supervised Learning for Node-Level Tasks: Insights and Strong Baseline
- NeurIPS 2026Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
- NeurIPS 2026Benchmarks as Measurement Instruments: Quantifying Signal and Noise for More Efficient AI Evaluations Under Distribution Shift
- NeurIPS 2026Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models
- NeurIPS 2026BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
- NeurIPS 2026Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models
- NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
- NeurIPS 2026Beyond Spatial and Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
- NeurIPS 2026Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
- NeurIPS 2026Beyond Truthfulness: Evaluating Honesty in Large Language Models
- NeurIPS 2026BiLi: Bridging the Last Mile in LiDAR Localization
- NeurIPS 2026BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics
- NeurIPS 2026Breakeven complexity: A new perspective on neural partial differential equation solvers
- NeurIPS 2026Breaking the Second Barrier: Sub-Second Timestamped Omni-Modal Captioning
- NeurIPS 2026Bricker to BRACE: A Bracket Exposure RAW Dataset and Restoration Model for Flicker-Banding
- NeurIPS 2026Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
- NeurIPS 2026BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation
- NeurIPS 2026C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
- NeurIPS 2026Can Folding Models Tell Binders from Bluffers? Evidence from POISK: The Patent-Derived Antibody Dataset
- NeurIPS 2026Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance
- NeurIPS 2026Can We Trust Item Response Theory for AI Evaluation?
- NeurIPS 2026Causal Benchmarks for Multimodal AI Should Measure Categorical Difference, Not Capability Gap
- NeurIPS 2026Causal pieces: analysing and improving spiking neural networks piece by piece
- NeurIPS 2026CELEUS: Certifiable and Efficient LLM Evaluation via E-Processes
- NeurIPS 2026Certification-Enhanced Generalization Bounds
- NeurIPS 2026CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting
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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.