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 1,582 篇，第 27 / 32 页
- NeurIPS 2025MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations
- NeurIPS 2025MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
- NeurIPS 2025Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
- NeurIPS 2025Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
- NeurIPS 2025Multi-step Visual Reasoning with Visual Tokens Scaling and Verification
- NeurIPS 2025Multi-View Oriented GPLVM: Expressiveness and Efficiency
- NeurIPS 2025Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
- NeurIPS 2025MUniverse: A Simulation and Benchmarking Suite for Motor Unit Decomposition
- NeurIPS 2025MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
- NeurIPS 2025MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs
- NeurIPS 2025MyoChallenge 2024: A New Benchmark for Physiological Dexterity and Agility in Bionic Humans
- NeurIPS 2025NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions
- NeurIPS 2025Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity
- NeurIPS 2025Nemotron-CLIMB: Clustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
- NeurIPS 2025NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
- NeurIPS 2025Neural Atlas Graphs for Dynamic Scene Decomposition and Editing
- NeurIPS 2025Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
- NeurIPS 2025Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
- NeurIPS 2025Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
- NeurIPS 2025NeuroRenderedFake: A Challenging Benchmark to Detect Fake Images Generated by Advanced Neural Rendering Methods
- NeurIPS 2025New Parallel and Streaming Algorithms for Directed Densest Subgraph
- NeurIPS 2025New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results
- NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
- NeurIPS 2025NOVA: A Benchmark for Rare Anomaly Localization and Clinical Reasoning in Brain MRI
- NeurIPS 2025OceanBench: A Benchmark for Data-Driven Global Ocean Forecasting systems
- NeurIPS 2025OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
- NeurIPS 2025Offline imitation learning in $Q^\pi$-realizable MDPs without expert realizability
- NeurIPS 2025OligoGym: Curated Datasets and Benchmarks for Oligonucleotide Drug Discovery
- NeurIPS 2025OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
- NeurIPS 2025OmniBench: Towards The Future of Universal Omni-Language Models
- NeurIPS 2025OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
- NeurIPS 2025OmniZoom: A Universal Plug-and-Play Paradigm for Cross-Device Smooth Zoom Interpolation
- NeurIPS 2025On Evaluating Policies for Robust POMDPs
- NeurIPS 2025On Local Limits of Sparse Random Graphs: Color Convergence and the Refined Configuration Model
- NeurIPS 2025On the Existence and Complexity of Core-Stable Data Exchanges
- NeurIPS 2025On the Stability and Generalization of Meta-Learning: the Impact of Inner-Levels
- NeurIPS 2025On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
- NeurIPS 2025OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
- NeurIPS 2025Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents
- NeurIPS 2025OpenGU: A Comprehensive Benchmark for Graph Unlearning
- NeurIPS 2025OpenLex3D: A Tiered Benchmark for Open-Vocabulary 3D Scene Representations
- NeurIPS 2025OpenMMEgo: Enhancing Egocentric Understanding for LMMs with Open Weights and Data
- NeurIPS 2025OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
- NeurIPS 2025OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
- NeurIPS 2025Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
- NeurIPS 2025ORBIT - Open Recommendation Benchmark for Reproducible Research with Hidden Tests
- NeurIPS 2025OrthoLoC: UAV 6-DoF Localization and Calibration Using Orthographic Geodata
- NeurIPS 2025OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding
- NeurIPS 2025OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps
- NeurIPS 2025OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models
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。