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 33 / 39 页
- NeurIPS 2024SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
- NeurIPS 2024Selective Explanations
- NeurIPS 2024Semantics and Spatiality of Emergent Communication
- NeurIPS 2024Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors
- NeurIPS 2024Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
- NeurIPS 2024Set-based Neural Network Encoding Without Weight Tying
- NeurIPS 2024SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
- NeurIPS 2024SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
- NeurIPS 2024SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment
- NeurIPS 2024SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning
- NeurIPS 2024Should We Really Edit Language Models? On the Evaluation of Edited Language Models
- NeurIPS 2024Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
- NeurIPS 2024Simple and Effective Masked Diffusion Language Models
- NeurIPS 2024Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
- NeurIPS 2024Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing
- NeurIPS 2024Slight Corruption in Pre-training Data Makes Better Diffusion Models
- NeurIPS 2024Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
- NeurIPS 2024SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting
- NeurIPS 2024Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
- NeurIPS 2024SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation
- NeurIPS 2024SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers
- NeurIPS 2024SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
- NeurIPS 2024SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
- NeurIPS 2024SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution
- NeurIPS 2024SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset
- NeurIPS 2024StackEval: Benchmarking LLMs in Coding Assistance
- NeurIPS 2024STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
- NeurIPS 2024Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution
- NeurIPS 2024Stochastic Concept Bottleneck Models
- NeurIPS 2024Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity
- NeurIPS 2024StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
- NeurIPS 2024Streaming Bayes GFlowNets
- NeurIPS 2024Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
- NeurIPS 2024SubjECTive-QA: A dataset for the subjective evaluation of answers in Earnings Call Transcripts (ECTs)
- NeurIPS 2024SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations
- NeurIPS 2024SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking
- NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
- NeurIPS 2024T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
- NeurIPS 2024Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
- NeurIPS 2024TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
- NeurIPS 2024Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth
- NeurIPS 2024Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
- NeurIPS 2024TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
- NeurIPS 2024The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
- NeurIPS 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
- NeurIPS 2024The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
- NeurIPS 2024The iNaturalist Sounds Dataset
- NeurIPS 2024The Mamba in the Llama: Distilling and Accelerating Hybrid Models
- NeurIPS 2024The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
- NeurIPS 2024The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
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。