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 4 / 9 页
- ICLR 2025GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
- ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
- ICLR 2025Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
- ICLR 2025Graph-based Document Structure Analysis
- ICLR 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
- ICLR 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
- ICLR 2025Greener GRASS: Enhancing GNNs with Encoding, Rewiring, and Attention
- ICLR 2025Group Distributionally Robust Dataset Distillation with Risk Minimization
- ICLR 2025GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement
- ICLR 2025GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
- ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
- ICLR 2025HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics
- ICLR 2025Harnessing Webpage UIs for Text-Rich Visual Understanding
- ICLR 2025Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
- ICLR 2025Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
- ICLR 2025HELMET: How to Evaluate Long-context Models Effectively and Thoroughly
- ICLR 2025HelpSteer2-Preference: Complementing Ratings with Preferences
- ICLR 2025Herald: A Natural Language Annotated Lean 4 Dataset
- ICLR 2025HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
- ICLR 2025How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
- ICLR 2025How efficient is LLM-generated code? A rigorous & high-standard benchmark
- ICLR 2025How Far Are We from True Unlearnability?
- ICLR 2025How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning
- ICLR 2025How new data permeates LLM knowledge and how to dilute it
- ICLR 2025How to Evaluate Reward Models for RLHF
- ICLR 2025HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
- ICLR 2025HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting
- ICLR 2025Human Simulacra: Benchmarking the Personification of Large Language Models
- ICLR 2025HyperFace: Generating Synthetic Face Recognition Datasets by Exploring Face Embedding Hypersphere
- ICLR 2025IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
- ICLR 2025IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
- ICLR 2025ILLUSION: Unveiling Truth with a Comprehensive Multi-Modal, Multi-Lingual Deepfake Dataset
- ICLR 2025ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
- ICLR 2025Imputation for prediction: beware of diminishing returns.
- ICLR 2025INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
- ICLR 2025InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
- ICLR 2025InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
- ICLR 2025Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
- ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
- ICLR 2025Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
- ICLR 2025Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
- ICLR 2025Inverse Constitutional AI: Compressing Preferences into Principles
- ICLR 2025InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
- ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
- ICLR 2025JPEG Inspired Deep Learning
- ICLR 2025JudgeBench: A Benchmark for Evaluating LLM-Based Judges
- ICLR 2025JudgeLM: Fine-tuned Large Language Models are Scalable Judges
- ICLR 2025Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
- ICLR 2025K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models
- ICLR 2025Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
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。