数据集与基准论文趋势 2023–2026
新数据集与评测协议
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,856 篇被归入该主题的论文。
主要结论
- 数据集与基准论文从 2023 年的 937 篇增长到 2026 年的 1,991 篇，三年间扩大到约 2.1 倍。
- NeurIPS 是发数据集与基准论文最多的会议，2023–2026 年共 1,935 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 194 篇。
- 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的硬件协同是 4.4 倍，数据集与基准是 2.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 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 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部数据集与基准论文
共 1,935 篇，第 26 / 39 页
- NeurIPS 2025WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch
- NeurIPS 2025What Moves the Eyes: Doubling Mechanistic Model Performance Using Deep Networks to Discover and Test Cognitive Hypotheses
- NeurIPS 2025What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes
- NeurIPS 2025Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models
- NeurIPS 2025Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs
- NeurIPS 2025WorldModelBench: Judging Video Generation Models As World Models
- NeurIPS 2025Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
- NeurIPS 2025WritingBench: A Comprehensive Benchmark for Generative Writing
- NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
- NeurIPS 2025YEAST: Yet Another Sequential Test
- NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
- NeurIPS 2024$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
- NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
- NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
- NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
- NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
- NeurIPS 2024A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
- NeurIPS 2024A Functional Extension of Semi-Structured Networks
- NeurIPS 2024A Generative Model of Symmetry Transformations
- NeurIPS 2024A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection
- NeurIPS 2024A probability contrastive learning framework for 3D molecular representation learning
- NeurIPS 2024A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models
- NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
- NeurIPS 2024A Systematic Review of NeurIPS Dataset Management Practices
- NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
- NeurIPS 2024A Tractable Inference Perspective of Offline RL
- NeurIPS 2024Accuracy is Not All You Need
- NeurIPS 2024Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation
- NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
- NeurIPS 2024Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios
- NeurIPS 2024Active preference learning for ordering items in- and out-of-sample
- NeurIPS 2024ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets
- NeurIPS 2024Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
- NeurIPS 2024Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
- NeurIPS 2024Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
- NeurIPS 2024Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
- NeurIPS 2024Advancing Video Anomaly Detection: A Concise Review and a New Dataset
- NeurIPS 2024Algorithmic progress in language models
- NeurIPS 2024Alias-Free Mamba Neural Operator
- NeurIPS 2024AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
- NeurIPS 2024Amortized Fourier Neural Operators
- NeurIPS 2024An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
- NeurIPS 2024ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
- NeurIPS 2024Analysing the Generalisation and Reliability of Steering Vectors
- NeurIPS 2024APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments
- NeurIPS 2024APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
- NeurIPS 2024Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
- NeurIPS 2024Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era
- NeurIPS 2024Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification
- NeurIPS 2024Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查数据集与基准在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "dataset-and-benchmarks"}
常见问题
- 2023–2026 年四大会议一共有多少篇数据集与基准论文？
- 共 5,856 篇，按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。
- NeurIPS 2026 有多少篇数据集与基准论文？
- NeurIPS 2026 有 623 篇数据集与基准论文，上一届是 637 篇。
- ICLR 2026 有多少篇数据集与基准论文？
- ICLR 2026 有 635 篇数据集与基准论文，上一届是 419 篇。
- ICML 2026 有多少篇数据集与基准论文？
- ICML 2026 有 275 篇数据集与基准论文，上一届是 189 篇。
- CVPR 2026 有多少篇数据集与基准论文？
- CVPR 2026 有 458 篇数据集与基准论文，上一届是 337 篇。
- 哪个会议的数据集与基准论文最多？
- NeurIPS，2023–2026 年共 1,935 篇。