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 5,852 篇，第 61 / 118 页
- NeurIPS 2025Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
- NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
- NeurIPS 2025Bridging Theory and Practice in Link Representation with Graph Neural Networks
- NeurIPS 2025Bubbleformer: Forecasting Boiling with Transformers
- NeurIPS 2025BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
- NeurIPS 2025C-SEO Bench: Does Conversational SEO Work?
- NeurIPS 2025C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
- NeurIPS 2025CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
- NeurIPS 2025CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
- NeurIPS 2025Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
- NeurIPS 2025Can Large Language Models Master Complex Card Games?
- NeurIPS 2025Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
- NeurIPS 2025Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs
- NeurIPS 2025Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
- NeurIPS 2025CAPability: A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness
- NeurIPS 2025CarbonGlobe: A Global-Scale, Multi-Decade Dataset and Benchmark for Carbon Forecasting in Forest Ecosystems
- NeurIPS 2025Care-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson’s Disease Gait Assessment
- NeurIPS 2025CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs
- NeurIPS 2025CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
- NeurIPS 2025CellVerse: Do Large Language Models Really Understand Cell Biology?
- NeurIPS 2025ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models
- NeurIPS 2025CHASM: Unveiling Covert Advertisements on Chinese Social Media
- NeurIPS 2025CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
- NeurIPS 2025ChemPile: A 250 GB Diverse and Curated Dataset for Chemical Foundation Models
- NeurIPS 2025CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models
- NeurIPS 2025CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
- NeurIPS 2025CLEAR: Command Level Annotated Dataset for Ransomware Detection
- NeurIPS 2025CleverBirds: A Multiple-Choice Benchmark for Fine-grained Human Knowledge Tracing
- NeurIPS 2025ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
- NeurIPS 2025ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
- NeurIPS 2025Clustering via Hedonic Games: New Concepts and Algorithms
- NeurIPS 2025COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation
- NeurIPS 2025CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
- NeurIPS 2025CogPhys: Assessing Cognitive Load via Multimodal Remote and Contact-based Physiological Sensing
- NeurIPS 2025Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm
- NeurIPS 2025Collaborative and Confidential Junction Trees for Hybrid Bayesian Networks
- NeurIPS 2025ColorBench: Can VLMs See and Understand the Colorful World? A Comprehensive Benchmark for Color Perception, Reasoning, and Robustness
- NeurIPS 2025Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
- NeurIPS 2025Computational Budget Should Be Considered in Data Selection
- NeurIPS 2025ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
- NeurIPS 2025Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
- NeurIPS 2025Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
- NeurIPS 2025Connecting Jensen–Shannon and Kullback–Leibler Divergences: A New Bound for Representation Learning
- NeurIPS 2025ConnectomeBench: Can LLMs proofread the connectome?
- NeurIPS 2025ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks
- NeurIPS 2025Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
- NeurIPS 2025ConViS-Bench: Estimating Video Similarity Through Semantic Concepts
- NeurIPS 2025CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
- NeurIPS 2025CoreaSpeech: Korean Speech Corpus via JAMO-based Coreset Selection for Efficient and Robust Korean Speech Generation
- NeurIPS 2025Coreset for Robust Geometric Median: Eliminating Size Dependency on Outliers
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。