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 1,935 篇,第 14 / 39 页
- NeurIPS 2025AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmark
- NeurIPS 2025AHa-Bench: Benchmarking Audio Hallucinations in Large Audio-Language Models
- NeurIPS 2025AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
- NeurIPS 2025Alchemist: Turning Public Text-to-Image Data into Generative Gold
- NeurIPS 2025ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering
- NeurIPS 2025Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
- NeurIPS 2025AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
- NeurIPS 2025Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
- NeurIPS 2025All that structure matches does not glitter
- NeurIPS 2025An Optimized Franz-Parisi Criterion and its Equivalence with SQ Lower Bounds
- NeurIPS 2025AneuG-Flow: A Large-Scale Synthetic Dataset of Diverse Intracranial Aneurysm Geometries and Hemodynamics
- NeurIPS 2025AnomalyCoT: A Multi-Scenario Chain-of-Thought Dataset for Multimodal Large Language Models
- NeurIPS 2025ArchCAD-400K: A Large-Scale CAD drawings Dataset and New Baseline for Panoptic Symbol Spotting
- NeurIPS 2025ArchPower: Dataset for Architecture-Level Power Modeling of Modern CPU Design
- NeurIPS 2025Are Large Language Models Sensitive to the Motives Behind Communication?
- NeurIPS 2025Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
- NeurIPS 2025Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
- NeurIPS 2025Asymmetric Duos: Sidekicks Improve Uncertainty
- NeurIPS 2025ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data
- NeurIPS 2025Attention with Trained Embeddings Provably Selects Important Tokens
- NeurIPS 2025Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
- NeurIPS 2025AutoHood3D: A Multi‑Modal Benchmark for Automotive Hood Design and Fluid–Structure Interaction
- NeurIPS 2025AutoOpt: A Dataset and a Unified Framework for Automating Optimization Problem Solving
- NeurIPS 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Web
- NeurIPS 2025BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
- NeurIPS 2025Balancing Performance and Costs in Best Arm Identification
- NeurIPS 2025BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
- NeurIPS 2025BEDLAM2.0: Synthetic humans and cameras in motion
- NeurIPS 2025BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
- NeurIPS 2025Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable Agents
- NeurIPS 2025Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges
- NeurIPS 2025Beyond Modality Collapse: Representation Blending for Multimodal Dataset Distillation
- NeurIPS 2025Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
- NeurIPS 2025BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
- NeurIPS 2025BLINK-Twice: You see, but do you observe? A Reasoning Benchmark on Visual Perception
- NeurIPS 2025BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
- NeurIPS 2025BO4Mob: Bayesian Optimization Benchmarks for High-Dimensional Urban Mobility Problem
- NeurIPS 2025BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models
- NeurIPS 2025BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
- NeurIPS 2025BRACE: A Benchmark for Robust Audio Caption Quality Evaluation
- NeurIPS 2025Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
- NeurIPS 2025Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
- NeurIPS 2025Bridging Expressivity and Scalability with Adaptive Unitary SSMs
- NeurIPS 2025Bridging Theory and Practice in Link Representation with Graph Neural Networks
- NeurIPS 2025Bubbleformer: Forecasting Boiling with Transformers
- NeurIPS 2025BurstDeflicker: A Benchmark Dataset for Flicker Removal in Dynamic Scenes
- NeurIPS 2025C-SEO Bench: Does Conversational SEO Work?
- NeurIPS 2025C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
- NeurIPS 2025CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
- NeurIPS 2025CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
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。