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 13 of 39
- NeurIPS 2026We Need to Improve Benchmarks in AI for Mathematics
- NeurIPS 2026WebSpatial: A Benchmarking Framework of Spatial Intelligence via Web-based Runtime Environments
- NeurIPS 2026Weird Generalization from Narrow Finetuning: Persona Shifts and Inductive Backdoors
- NeurIPS 2026Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation
- NeurIPS 2026What Cohort INRs Encode, and Where to Freeze Them
- NeurIPS 2026What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents
- NeurIPS 2026What Sketches Tell Us about LVLMs: Conventions, Grounding, and Localisation
- NeurIPS 2026What Transformer FFNs Never See: Theory, Diagnosis, and Lightweight Remediation
- NeurIPS 2026When and Why Does Multi-Agent Debate Fail and Does It Really Underperform?
- NeurIPS 2026When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation
- NeurIPS 2026When Do Learned State Representations Break Sensitivity Analysis?
- NeurIPS 2026When Helpfulness Becomes Sycophancy: Sycophancy is a Boundary Failure Between Social Alignment and Epistemic Integrity in Large Language Models
- NeurIPS 2026When Sanitization Becomes the Trigger: Defense-Triggered Backdoor Attacks
- NeurIPS 2026Where Tabular Foundation Models Falter on Genetic Data: Datasets That Expose and Provide a Path to Address the Gap
- NeurIPS 2026Where to Connect? Boosting MLLMs via Dynamic Gated Pathways across ALL ViT and LLM Layers
- NeurIPS 2026Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs
- NeurIPS 2026Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
- NeurIPS 2026Why Heavy-Tailed Weights Predict Model Quality
- NeurIPS 2026WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife
- NeurIPS 2026Winfree Oscillatory Neural Network
- NeurIPS 2026Workspace-Bench 1.0: Benchmarking AI Agents on Workspace Tasks with Large-Scale File Dependencies
- NeurIPS 2026X-Palm: Paired Multispectral-to-Smartphone Dataset for Cross-Domain Palmprint Authentication
- NeurIPS 2026XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity
- NeurIPS 20253D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks
- NeurIPS 20253EED: Ground Everything Everywhere in 3D
- NeurIPS 20254D3R: Motion-Aware Neural Reconstruction and Rendering of Dynamic Scenes from Monocular Videos
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- NeurIPS 2025A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
- NeurIPS 2025A Controllable Examination for Long-Context Language Models
- NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
- NeurIPS 2025A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
- NeurIPS 2025A Minimalist Example of Edge-of-Stability and Progressive Sharpening
- NeurIPS 2025A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
- NeurIPS 2025A Multimodal Benchmark for Framing of Oil & Gas Advertising and Potential Greenwashing Detection
- NeurIPS 2025A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
- NeurIPS 2025A Signed Graph Approach to Understanding and Mitigating Oversmoothing
- NeurIPS 2025A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
- NeurIPS 2025A Technical Report on “Erasing the Invisible”: The 2024 NeurIPS Competition on Stress Testing Image Watermarks
- NeurIPS 2025A Unifying View of Linear Function Approximation in Off-Policy RL Through Matrix Splitting and Preconditioning
- NeurIPS 2025Absence Bench: Language Models Can’t See What’s Missing
- NeurIPS 2025AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
- NeurIPS 2025Activation-Informed Merging of Large Language Models
- NeurIPS 2025Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
- NeurIPS 2025ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
- NeurIPS 2025Aeolus: A Multi-structural Flight Delay Dataset
- NeurIPS 2025AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
- NeurIPS 2025AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents
- NeurIPS 2025AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios
- NeurIPS 2025AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
- NeurIPS 2025Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Datasets and Benchmarks papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "dataset-and-benchmarks"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.