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 1,346 篇,第 10 / 27 页
- ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
- ICLR 2024HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
- ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
- ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
- ICLR 2024Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
- ICLR 2024Hypergraph Dynamic System
- ICLR 2024I-PHYRE: Interactive Physical Reasoning
- ICLR 2024Idempotence and Perceptual Image Compression
- ICLR 2024ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
- ICLR 2024ImagenHub: Standardizing the evaluation of conditional image generation models
- ICLR 2024Improved algorithm and bounds for successive projection
- ICLR 2024Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
- ICLR 2024Improving Offline RL by Blending Heuristics
- ICLR 2024Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
- ICLR 2024InstructDET: Diversifying Referring Object Detection with Generalized Instructions
- ICLR 2024InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
- ICLR 2024InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
- ICLR 2024Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
- ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
- ICLR 2024KoLA: Carefully Benchmarking World Knowledge of Large Language Models
- ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
- ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
- ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
- ICLR 2024Large Language Models Are Not Robust Multiple Choice Selectors
- ICLR 2024Large Language Models as Automated Aligners for benchmarking Vision-Language Models
- ICLR 2024Layer-wise linear mode connectivity
- ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
- ICLR 2024Learning from Sparse Offline Datasets via Conservative Density Estimation
- ICLR 2024Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
- ICLR 2024Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
- ICLR 2024Learning to Jointly Understand Visual and Tactile Signals
- ICLR 2024Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
- ICLR 2024LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses
- ICLR 2024LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
- ICLR 2024LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
- ICLR 2024Measuring Vision-Language STEM Skills of Neural Models
- ICLR 2024MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
- ICLR 2024MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
- ICLR 2024MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
- ICLR 2024MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
- ICLR 2024Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
- ICLR 2024Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
- ICLR 2024Momentum Benefits Non-iid Federated Learning Simply and Provably
- ICLR 2024MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
- ICLR 2024Multisize Dataset Condensation
- ICLR 2024MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
- ICLR 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
- ICLR 2024Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace
- ICLR 2024NEFTune: Noisy Embeddings Improve Instruction Finetuning
- ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
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。