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 6 / 39 页
- NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
- NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
- NeurIPS 2026How to Have a Sensitive Debate
- NeurIPS 2026HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation
- NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
- NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
- NeurIPS 2026Identification and Bounding of Joint Expectation over Potential Outcomes
- NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
- NeurIPS 2026Incorporating Neural Network Structure in the Bayesian Learning Rule
- NeurIPS 2026Independent Latents, Robust Neural Operators
- NeurIPS 2026Inference and estimation with unidentifiable latent treatment effects
- NeurIPS 2026Inferring learning rules in deep neural network architectures from animal learning data
- NeurIPS 2026Information Discernment in Large Language Models
- NeurIPS 2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
- NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
- NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
- NeurIPS 2026InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
- NeurIPS 2026Inverse Linear Bandits via Linear Programs
- NeurIPS 2026Inverting Retargeting: Humanoid Datasets Remember Their Operators
- NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
- NeurIPS 2026Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
- NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
- NeurIPS 2026Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
- NeurIPS 2026Joint Learning of Hierarchical Neural Options and Abstract World Model
- NeurIPS 2026Jointly Reinforcing Diversity and Quality in Language Model Generations
- NeurIPS 2026JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
- NeurIPS 2026KiteNorm: Variance Regularisation for Stable and Scalable Post-LN Transformers
- NeurIPS 2026KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
- NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
- NeurIPS 2026L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
- NeurIPS 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
- NeurIPS 2026LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
- NeurIPS 2026Large Language Model Selection with Limited Annotations
- NeurIPS 2026Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
- NeurIPS 2026Lattice Deduction Transformers
- NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant
- NeurIPS 2026LCD$^3$: Layout-Conditioned Diffusion for Dataset Distillation in Object Detection
- NeurIPS 2026Leak-CURBER: A Leakage-Controlled Multimodal Evaluation Benchmark for Enzymatic Reaction Tasks
- NeurIPS 2026Learning Energy-Based Models from Stochastic Interpolants using Spatiotemporal Differences
- NeurIPS 2026Learning Event-to-Field Operators Without Interpolation
- NeurIPS 2026Learning How to Cube
- NeurIPS 2026Learning Modular Addition with Auxiliary Modulus
- NeurIPS 2026Learning Recoverable Neural Networks against Weight Corruption via Simple Zero-Sum Projection
- NeurIPS 2026Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable
- NeurIPS 2026Learning with Enumeration: Neural-Guided SAT Framework for Cryptographic Key Recovery
- NeurIPS 2026Ledger: A Path-Validated, Database-Grounded Benchmark for Enterprise Web Agents
- NeurIPS 2026Less is More: Fewer Tokens and Blocks Make AIGI Detection Faster and More Generalizable
- NeurIPS 2026Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
- NeurIPS 2026Leviathan: Decoupling Input and Output Representations in Language Models
- NeurIPS 2026Lipschitz Dueling Bandits over Continuous Action Spaces
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。