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 419 篇,第 5 / 9 页
- ICLR 2025KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
- ICLR 2025LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
- ICLR 2025Language Model Alignment in Multilingual Trolley Problems
- ICLR 2025Language Models Learn to Mislead Humans via RLHF
- ICLR 2025Language Representations Can be What Recommenders Need: Findings and Potentials
- ICLR 2025Large Language Models Often Say One Thing and Do Another
- ICLR 2025Law of the Weakest Link: Cross Capabilities of Large Language Models
- ICLR 2025Lawma: The Power of Specialization for Legal Annotation
- ICLR 2025Learning Color Equivariant Representations
- ICLR 2025Learning Continually by Spectral Regularization
- ICLR 2025Learning Interleaved Image-Text Comprehension in Vision-Language Large Models
- ICLR 2025Learning Splitting Heuristics in Divide-and-Conquer SAT Solvers with Reinforcement Learning
- ICLR 2025LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
- ICLR 2025LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content
- ICLR 2025LLaMaFlex: Many-in-one LLMs via Generalized Pruning and Weight Sharing
- ICLR 2025LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
- ICLR 2025LocoVR: Multiuser Indoor Locomotion Dataset in Virtual Reality
- ICLR 2025LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
- ICLR 2025LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning
- ICLR 2025Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
- ICLR 2025ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
- ICLR 2025MANTRA: The Manifold Triangulations Assemblage
- ICLR 2025Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
- ICLR 2025Matryoshka Multimodal Models
- ICLR 2025McEval: Massively Multilingual Code Evaluation
- ICLR 2025MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
- ICLR 2025Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
- ICLR 2025MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
- ICLR 2025MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks
- ICLR 2025metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models
- ICLR 2025MetaOOD: Automatic Selection of OOD Detection Models
- ICLR 2025MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
- ICLR 2025MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
- ICLR 2025miniCTX: Neural Theorem Proving with (Long-)Contexts
- ICLR 2025Mitigating Memorization in Language Models
- ICLR 2025MixEval-X: Any-to-any Evaluations from Real-world Data Mixture
- ICLR 2025Mixture of In-Context Prompters for Tabular PFNs
- ICLR 2025MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
- ICLR 2025MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
- ICLR 2025MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
- ICLR 2025MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
- ICLR 2025MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
- ICLR 2025MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models
- ICLR 2025MMKE-Bench: A Multimodal Editing Benchmark for Diverse Visual Knowledge
- ICLR 2025MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions
- ICLR 2025MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
- ICLR 2025MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents
- ICLR 2025MMTEB: Massive Multilingual Text Embedding Benchmark
- ICLR 2025MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
- ICLR 2025MotherNet: Fast Training and Inference via Hyper-Network Transformers
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。