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 623 篇,第 4 / 13 页
- NeurIPS 2026Distribution Corrected Decision Transformer for Offline Reinforcement Learning with Imbalanced Datasets
- NeurIPS 2026Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests
- NeurIPS 2026Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
- NeurIPS 2026Do LLMs Feel Social Pressure? Locating and Steering Social Desirability Bias in LLMs
- NeurIPS 2026Do You CARE to Generalize? Extracting Robust Concept Directions from LLMs
- NeurIPS 2026DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
- NeurIPS 2026Domain-Conditioned Class Imbalance: Why Global Class Balance Fails Across Domains
- NeurIPS 2026Doomed to Re-Annotate, Forever: The ImageNet Story
- NeurIPS 2026DopplerWild: A Doppler Dataset and Benchmark for Human Kinematic Understanding in the Wild
- NeurIPS 2026Drive vs. Decay: On the Training Dynamics of Joint-Embedding Predictive Architectures
- NeurIPS 2026Dual Dimensionality for Local and Global Attention
- NeurIPS 2026Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
- NeurIPS 2026DualWorldBench: Can Agents Plan Deliveries across Symbolic and Grounded Worlds?
- NeurIPS 2026DynaCell: an Evaluation Framework for Dynamic 3D Virtual Staining of Live Cells
- NeurIPS 2026Dynamic k-center clustering with lifetimes
- NeurIPS 2026Dynamic Model Merging Made Slim
- NeurIPS 2026Dynamic Treatment on Networks
- NeurIPS 2026ECG Dataset with Multi-Expert Annotations and Delineations
- NeurIPS 2026EchoXFlow: A Beamspace Echocardiography Dataset for Cardiac Motion, Flow, and Function
- NeurIPS 2026ECLIPSE: A Spacecraft Rendezvous Trajectories Dataset with Controlled In-Orbit Lighting Conditions
- NeurIPS 2026EDITORS Know Your Style! Editing LoRA Subspaces for Stylistic Attribution and Imitation
- NeurIPS 2026EDMA: Entropy-Driven Multimodal Answering
- NeurIPS 2026Efficient Benchmarking Is Just Feature Selection and Multiple Regression
- NeurIPS 2026Efficient Dataset Distillation for Pre-Trained Self-Supervised Models via Statistical Flow Matching
- NeurIPS 2026Efficient evaluation and error pattern discovery for blackbox AI systems
- NeurIPS 2026Efficient Evaluation of LLM Performance with Statistical Guarantees
- NeurIPS 2026Efficient Retrosynthesis Prediction with Integral Flow Matching and Latent Inversion
- NeurIPS 2026EgoBench: An Interactive Egocentric Multimodal Benchmark for Tool-Using Agents
- NeurIPS 2026EgoSurgHands: An Egocentric 3D Hand Pose Dataset & Benchmark for Open-Surgery Training
- NeurIPS 2026Emergent Misalignment as Data-Mediated Transfer
- NeurIPS 2026EpistasisBench: Revealing Structural Limitations of Zero-Shot Protein Language Models
- NeurIPS 2026Epistemic Pairwise Maximin Share
- NeurIPS 2026Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning
- NeurIPS 2026Estimating Model-Level Membership Inference Vulnerability Without Reference Models
- NeurIPS 2026EvalAwareBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
- NeurIPS 2026Evaluating Compositional Generalization in Transformers: The Role of Composition Equivalence and Module Coverage
- NeurIPS 2026Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
- NeurIPS 2026Evaluating Physical Reasoning in LLM Agents Requires Construction Benchmarks
- NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
- NeurIPS 2026Explanation Multiplicity in SHAP: Characterization and Assessment
- NeurIPS 2026Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
- NeurIPS 2026Exposing and Mitigating Temporal Attack in Deepfake Video Detection
- NeurIPS 2026Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
- NeurIPS 2026ExtrapAir: Air Quality Inference at Unmonitored Locations via Weather-Bridged Spatial Attention
- NeurIPS 2026Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
- NeurIPS 2026FacePhys: State of the Heart Learning
- NeurIPS 2026Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
- NeurIPS 2026Fair Bubble Sort: Provably Optimal Fair Ranking with Continuous Sensitive Attributes
- NeurIPS 2026Fair Range k-Supplier Clustering in Offline and Streaming Models
- NeurIPS 2026Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs
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。