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 1,432 篇,第 2 / 29 页
- ICLR 2026BANZ-FS: BANZSL Fingerspelling Dataset
- ICLR 2026Batch and Sequential Unlearning for Neural Networks
- ICLR 2026Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis
- ICLR 2026Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
- ICLR 2026Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
- ICLR 2026Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
- ICLR 2026Benchmarking LLM Tool-Use in the Wild
- ICLR 2026Benchmarking Open-ended Segmentation
- ICLR 2026Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
- ICLR 2026Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
- ICLR 2026Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
- ICLR 2026Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
- ICLR 2026Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World
- ICLR 2026Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers
- ICLR 2026Beyond Uniformity: Sample and Frequency Meta Weighting for Post-Training Quantization of Diffusion Models
- ICLR 2026BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models
- ICLR 2026Bilinear relational structure fixes reversal curse and enables consistent model editing
- ICLR 2026BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions
- ICLR 2026Bongard-RWR+: Real-World Representations of Fine-Grained Concepts in Bongard Problems
- ICLR 2026Bridging Explainability and Embeddings: BEE Aware of Spuriousness
- ICLR 2026Bridging Kolmogorov Complexity and Deep Learning: Asymptotically Optimal Description Length Objectives for Transformers
- ICLR 2026Bridging the Gap Between Promise and Performance for FP4 Quantization
- ICLR 2026Bridging the performance-gap between target-free and target-based reinforcement learning
- ICLR 2026BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, and Rerankers
- ICLR 2026CAGE: A Framework for Culturally Adaptive Red-Teaming Benchmark Generation
- ICLR 2026Can Large Language Models Match the Conclusions of Systematic Reviews?
- ICLR 2026Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?
- ICLR 2026Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice
- ICLR 2026Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks
- ICLR 2026Can Vision-Language Models Answer Face to Face Questions in the Real-World?
- ICLR 2026Can Vision–Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
- ICLR 2026Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
- ICLR 2026Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
- ICLR 2026CAPSUL: A Comprehensive Human Protein Benchmark for Subcellular Localization
- ICLR 2026CaReBench: A Fine-grained Benchmark for Video Captioning and Retrieval
- ICLR 2026Certified Evaluation of Model-Level Explanations for Graph Neural Networks
- ICLR 2026CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
- ICLR 2026Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
- ICLR 2026Characterizing Deep Research: A Benchmark and Formal Definition
- ICLR 2026ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
- ICLR 2026Charts Are Not Images: On the Challenges of Scientific Chart Editing
- ICLR 2026ChemEval: A Multi-level and Fine-grained Chemical Capability Evaluation for Large Language Models
- ICLR 2026Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
- ICLR 2026ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents
- ICLR 2026Choices Speak Louder than Questions
- ICLR 2026ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
- ICLR 2026CIMemories: A Compositional Benchmark For Contextual Integrity In LLMs
- ICLR 2026Circuit Insights: Towards Interpretability Beyond Activations
- ICLR 2026CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
- ICLR 2026CircuitSense: A Hierarchical Circuit System Benchmark Bridging Visual Comprehension and Symbolic Reasoning in Engineering Design Process
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。