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 1,987 篇，第 27 / 40 页
- ICML 2026SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
- ICML 2026Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
- ICML 2026Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms
- ICML 2026Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
- ICML 2026scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
- ICML 2026Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
- ICML 2026Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
- ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
- ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
- ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
- ICML 2026SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
- ICML 2026Simple Denoising Diffusion Language Models
- ICML 2026SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
- ICML 2026Sparse and Faithful Local Explanations with Piecewise Linear Surrogates
- ICML 2026Sparse Autoencoders are Topic Models
- ICML 2026Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
- ICML 2026SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
- ICML 2026SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
- ICML 2026Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
- ICML 2026STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
- ICML 2026Strategic Candidacy in Generative AI Arenas
- ICML 2026Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
- ICML 2026Stronger Benchmarks for Prediction as a Service with Constraints
- ICML 2026Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
- ICML 2026SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
- ICML 2026Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
- ICML 2026TabICLv2: A Better, Faster, Scalable, and Open Tabular Foundation Model
- ICML 2026TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
- ICML 2026Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
- ICML 2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
- ICML 2026The Illusion of Generalization in Tabular Language Models
- ICML 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
- ICML 2026Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
- ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
- ICML 2026TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
- ICML 2026Topology-Aware Contrastive Learning: Regulating Representation Connectivity via Persistent Homology
- ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
- ICML 2026Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
- ICML 2026Trajectory Seriation via Spectral Tangent Alignment and Global Embedding
- ICML 2026UltraLIF: Fully Differentiable Spiking Neural Networks via Ultradiscretization and Max-Plus Algebra
- ICML 2026Uncovering Competency Gaps in Large Language Models and Their Benchmarks
- ICML 2026Understanding Data Temporality Impact on Large Language Models Pre-training
- ICML 2026Understanding Generalization from Embedding Dimension and Distributional Convergence
- ICML 2026Unified Time Series Explanations via Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation
- ICML 2026Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
- ICML 2026Unifying Dataset Pruning and Distillation for Efficient Large-scale Compression
- ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
- ICML 2026UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms
- ICML 2026Unlocking the Potential of Continual Model Merging: An ODE Perspective
- ICML 2026Unsupervised Camouflaged Object Detection with Dual-Eigenvector Spectral Pseudo-Labeling and Contrastive Refinement
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。