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 28 / 118 页
- ICML 2026UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
- ICML 2026Utility Boundary of Dataset Distillation: Scaling and Coverage Laws
- ICML 2026VALUEFLOW: Toward Pluralistic and Steerable Value-based Alignment in Large Language Models
- ICML 2026Vector Linking via Cross-Model Local Isometric Consistency
- ICML 2026VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
- ICML 2026WBMM: Windowed Batch Matrix Multiplication for Efficient Large Receptive Field Convolution
- ICML 2026WeightCLIP: Aligning Datasets and Models for Weight Space Learning
- ICML 2026WF-Bench: A Benchmark for Neural-Network WaveFunction Expressivity and Scaling Laws
- ICML 2026What Language is This? Ask Your Tokenizer.
- ICML 2026When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation
- ICML 2026When Can We Trust Survival Model Evaluation ?
- ICML 2026When Do Diffusion Models Learn to Generate Multiple Objects?
- ICML 2026When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
- ICML 2026Why Self-Distillation Helps and Hurts: Denoising vs. Signal Forgetting
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- NeurIPS 2026$\mathrm{Bounded\mbox{-}RS}$: A Bounded Evaluation Protocol and Testbed for Representational Systematicity
- NeurIPS 2026$\varphi$TD: Distributional Reinforcement Learning using Characteristic Functions
- NeurIPS 20263D Consistency Tokens
- NeurIPS 2026A Diagnostic Benchmark for Layered Layout and Template-Variant Reasoning
- NeurIPS 2026A Mahalanobis Margin \texorpdfstring{$\gamma_{\min}$}{gamma\_min} Bound on Task Confusion in Pretrained Class-Incremental Learning: From Infeasibility to Exponential Attenuation
- NeurIPS 2026A Margin Perspective on LoRA: Robustness to Catastrophic Forgetting and Adapter Merging (MaLoRA)
- NeurIPS 2026A Method-Class Divide in Sub-4-Bit Quantization:\\Iterative vs.\ Single-Pass Sensitivity to Data Composition
- NeurIPS 2026A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data
- NeurIPS 2026A New Framework for Quantum Reinforcement Learning
- NeurIPS 2026A Simple Class-Agnostic Approach to Enhance Fair Adversarial Training
- NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
- NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
- NeurIPS 2026A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts
- NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
- NeurIPS 2026A2Eval: Agentic and Automated Evaluation for Embodied Brain
- NeurIPS 2026Accuracy of Noise Ceiling Estimators for Brain Scores
- NeurIPS 2026ACDP: Architecture-aware Cross-Dataset Performance Predictor for NAS
- NeurIPS 2026ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
- NeurIPS 2026Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses
- NeurIPS 2026Active Learning as Nullspace Regulation: A Spectral Representation Perspective
- NeurIPS 2026Adaptive Random Forests from Online Learning and Testing by Betting
- NeurIPS 2026Adaptive Target-Charging with Privacy Filters and Individual Accounting
- NeurIPS 2026Addressing Sparse-Rewards in RL with Scalable Hierarchical Novel Eigen Options
- NeurIPS 2026AET-Bench: Pixel-Accurate Atomic Tomography Is Not Atom-Accurate
- NeurIPS 2026Affine Tracing: A New Paradigm for Probabilistic Linear Solvers
- NeurIPS 2026AgentKernelArena: Benchmarking Performance and Generalization of AI Coding Agents on GPU Kernels Optimization
- NeurIPS 2026Agents' Last Exam
- NeurIPS 2026AgentSSL: Can MLE Agents Leverage Unlabeled Data?
- NeurIPS 2026AgroOmni: A Large-Scale Multi-view Agricultural Dataset for Cross-Scale Multimodal Reasoning
- NeurIPS 2026AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation
- NeurIPS 2026AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
- NeurIPS 2026Aligning Language Model Benchmarks with Pairwise Preferences
- NeurIPS 2026AlphaPROBE: Alpha Mining via principled retriveval and on-graph biased evolution
- NeurIPS 2026AMGenC: Generating Charge Balanced Amorphous Materials
- NeurIPS 2026Amortized Optimal Transport from Sliced Potentials
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。