数据集与基准论文趋势 2023–2026

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。

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 448 篇，第 2 / 9 页

51. NeurIPS 2024Benchmarking Complex Instruction-Following with Multiple Constraints Composition
52. NeurIPS 2024Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
53. NeurIPS 2024Benchmarking LLMs via Uncertainty Quantification
54. NeurIPS 2024Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
55. NeurIPS 2024BertaQA: How Much Do Language Models Know About Local Culture?
56. NeurIPS 2024Better by default: Strong pre-tuned MLPs and boosted trees on tabular data
57. NeurIPS 2024BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
58. NeurIPS 2024Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation
59. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
60. NeurIPS 2024BIGOS V2 Benchmark for Polish ASR: Curated Datasets and Tools for Reproducible Evaluation
61. NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
62. NeurIPS 2024BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity
63. NeurIPS 2024BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
64. NeurIPS 2024BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model
65. NeurIPS 2024Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing
66. NeurIPS 2024Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
67. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
68. NeurIPS 2024BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
69. NeurIPS 2024Building Timeseries Dataset: Empowering Large-Scale Building Analytics
70. NeurIPS 2024CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
71. NeurIPS 2024CALE: Continuous Arcade Learning Environment
72. NeurIPS 2024Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
73. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
74. NeurIPS 2024CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities
75. NeurIPS 2024Cardinality-Aware Set Prediction and Top-$k$ Classification
76. NeurIPS 2024CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
77. NeurIPS 2024ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
78. NeurIPS 2024CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning
79. NeurIPS 2024Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars
80. NeurIPS 2024CogVLM: Visual Expert for Pretrained Language Models
81. NeurIPS 2024Color-Oriented Redundancy Reduction in Dataset Distillation
82. NeurIPS 2024ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency
83. NeurIPS 2024Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
84. NeurIPS 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding
85. NeurIPS 2024Comprehensive Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for the Polish Language
86. NeurIPS 2024Compressing Large Language Models using Low Rank and Low Precision Decomposition
87. NeurIPS 2024CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
88. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
89. NeurIPS 2024Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
90. NeurIPS 2024Contrastive dimension reduction: when and how?
91. NeurIPS 2024Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods
92. NeurIPS 2024Copycats: the many lives of a publicly available medical imaging dataset
93. NeurIPS 2024cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers
94. NeurIPS 2024Credal Deep Ensembles for Uncertainty Quantification
95. NeurIPS 2024CriticEval: Evaluating Large-scale Language Model as Critic
96. NeurIPS 2024Croissant: A Metadata Format for ML-Ready Datasets
97. NeurIPS 2024CryoBench: Datasets and Benchmarks for Heterogeneous Cryo-EM Reconstruction
98. NeurIPS 2024CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
99. NeurIPS 2024CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence
100. NeurIPS 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

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。