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
419 papers, page 3 of 9
- ICLR 2025Do Large Language Models Truly Understand Geometric Structures?
- ICLR 2025Do LLMs estimate uncertainty well in instruction-following?
- ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
- ICLR 2025Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
- ICLR 2025Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
- ICLR 2025DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
- ICLR 2025DRoP: Distributionally Robust Data Pruning
- ICLR 2025Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
- ICLR 2025Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
- ICLR 2025Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
- ICLR 2025Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
- ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
- ICLR 2025Efficient Cross-Episode Meta-RL
- ICLR 2025ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
- ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
- ICLR 2025Equivariant Neural Functional Networks for Transformers
- ICLR 2025EvA: Erasing Spurious Correlations with Activations
- ICLR 2025Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
- ICLR 2025Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
- ICLR 2025Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
- ICLR 2025Expected Sliced Transport Plans
- ICLR 2025Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
- ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
- ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
- ICLR 2025Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
- ICLR 2025Fair Clustering in the Sliding Window Model
- ICLR 2025FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
- ICLR 2025FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
- ICLR 2025Fantastic Copyrighted Beasts and How (Not) to Generate Them
- ICLR 2025Fast Summation of Radial Kernels via QMC Slicing
- ICLR 2025Fast training and sampling of Restricted Boltzmann Machines
- ICLR 2025Faster Algorithms for Structured Linear and Kernel Support Vector Machines
- ICLR 2025Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
- ICLR 2025Feedback Schrödinger Bridge Matching
- ICLR 2025Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
- ICLR 2025Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
- ICLR 2025Find A Winning Sign: Sign Is All We Need to Win the Lottery
- ICLR 2025ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
- ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
- ICLR 2025From Tokens to Lattices: Emergent Lattice Structures in Language Models
- ICLR 2025Fully-inductive Node Classification on Arbitrary Graphs
- ICLR 2025GameArena: Evaluating LLM Reasoning through Live Computer Games
- ICLR 2025GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
- ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
- ICLR 2025Generalizing Weisfeiler-Lehman Kernels to Subgraphs
- ICLR 2025GenXD: Generating Any 3D and 4D Scenes
- ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
- ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
- ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
- ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs
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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.