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 1,432 篇，第 25 / 29 页
- ICLR 2024PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
- ICLR 2024Patched Denoising Diffusion Models For High-Resolution Image Synthesis
- ICLR 2024PeFLL: Personalized Federated Learning by Learning to Learn
- ICLR 2024PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
- ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
- ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
- ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
- ICLR 2024Proving Test Set Contamination in Black-Box Language Models
- ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
- ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
- ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
- ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
- ICLR 2024R-MAE: Regions Meet Masked Autoencoders
- ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
- ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
- ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
- ICLR 2024Repelling Random Walks
- ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
- ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
- ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- ICLR 2024RETSim: Resilient and Efficient Text Similarity
- ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
- ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
- ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
- ICLR 2024Safe Collaborative Filtering
- ICLR 2024Scalable Neural Network Kernels
- ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
- ICLR 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
- ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
- ICLR 2024SmartPlay : A Benchmark for LLMs as Intelligent Agents
- ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
- ICLR 2024SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
- ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
- ICLR 2024SpaCE: The Spatial Confounding Environment
- ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
- ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
- ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
- ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
- ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
- ICLR 2024Tangent Transformers for Composition,Privacy and Removal
- ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
- ICLR 2024The Generalization Gap in Offline Reinforcement Learning
- ICLR 2024TiC-CLIP: Continual Training of CLIP Models
- ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
- ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
- ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
- ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
- ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
- ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
- ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
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。