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 623 篇，第 12 / 13 页
- NeurIPS 2026The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation
- NeurIPS 2026The Marauder’s Map: Bézier Manifolds Reveal Hidden Surfaces for Model Merging and Ensembling
- NeurIPS 2026The Path Not Taken: RLVR Learns Off the Principals
- NeurIPS 2026The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment
- NeurIPS 2026The Pok\'emon Theorem and other Fairness Impossibility Results
- NeurIPS 2026The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
- NeurIPS 2026The Ruler and the Judge: Benchmark-Conditional Evaluation of LLM-as-a-Judge
- NeurIPS 2026The Score Kalman Filter
- NeurIPS 2026The SEC Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Data
- NeurIPS 2026The Sign Code: The Hidden Binary Nature of Deep Networks
- NeurIPS 2026The Stability of Data Exchange in Competitive Markets
- NeurIPS 2026The Structural Bias of $\ell_2$-Regularized Cross-Entropy Heads in Class-Incremental Learning: Characterization, Limits, and a Gauge-Anchoring Fix
- NeurIPS 2026The Subjectivity of Monoculture
- NeurIPS 2026The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler
- NeurIPS 2026THEIA: A Multimodal Dataset and Benchmark for Vision-Language Analysis of Layout
- NeurIPS 2026TherapyGym: Evaluating and Aligning Clinical Fidelity and Safety in Therapy Chatbots
- NeurIPS 2026Time series analysis with Gumbel dynamics
- NeurIPS 2026TimeWarp: Evaluating Web Agents by Revisiting the Past
- NeurIPS 2026Timing Is All You Need: SpikeCore, Learnable Delays, and Gain Control for Neuromorphic Classification
- NeurIPS 2026TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs
- NeurIPS 2026TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training
- NeurIPS 2026Toward Embodied World Agents via Embodied-Planning Dataset and Interactive World Models
- NeurIPS 2026Toward Multimodal Sheet Music Recognition and Understanding
- NeurIPS 2026Towards Identifiable Latent Additive Noise Models
- NeurIPS 2026Towards Unified Dynamic Face Landmark Detection
- NeurIPS 2026Training Language Models to Explain Their Own Computations
- NeurIPS 2026Training-Based Backdoors Are Not Cryptographic
- NeurIPS 2026Training-Free 3D Editing via Feature-Divergence Localization and Trajectory Correction
- NeurIPS 2026TransitLM: A Large-Scale Dataset and Benchmark for Map-Free Transit Route Generation
- NeurIPS 2026TransmissiveGS: Residual-Guided Disentangled Gaussian Splatting for Transmissive Scene Reconstruction and Rendering
- NeurIPS 2026TraXion: Rethinking Pre-training Frameworks for Mobility and Beyond
- NeurIPS 2026TreeWalker: Partial Evaluation for Grouped Tree-Ensemble Inference
- NeurIPS 2026TRIAD: Benchmarking Omni-Modal Ambiguity in Multimodal Large Language Models
- NeurIPS 2026Trivialized Generative Models on Lie Groups
- NeurIPS 2026Trustworthy and Efficient Map-free LiDAR Localization via Scan-Pose Alignment and Flow Matching
- NeurIPS 2026TSB-SEG: A Systematic Time-Series Segmentation Benchmark
- NeurIPS 2026TurtLES: A Large-Scale Benchmark for Turbulent 3D Neural PDE Surrogates
- NeurIPS 2026TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing
- NeurIPS 2026Two-Level Softmax Sampling Done Right: Correcting Bias from Size Imbalance and Dispersion
- NeurIPS 2026Uncertainty Quantification for Large Language Diffusion Models
- NeurIPS 2026Understanding the Interplay between Memorization and Learning in Large Language Models
- NeurIPS 2026UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation
- NeurIPS 2026Unlearning Diffusion Policies via Relative Fisher Forgetting
- NeurIPS 2026VAANI: Capturing the language landscape for an inclusive digital India
- NeurIPS 2026Vendi Anomaly Scores for Efficient and Accurate Anomaly Detection
- NeurIPS 2026VeriVul: A Verification-Guided Framework for Generating Realistic Vulnerability Benchmarks
- NeurIPS 2026ViroGym: Realistic Large-Scale Benchmarks for Evaluating Viral Proteins
- NeurIPS 2026Visual Robustness and Neural Alignment in a Shared Foraging Task: The Mouse vs. AI Benchmark
- NeurIPS 2026Vortex: Efficient and Programmable Sparse Attention Serving
- NeurIPS 2026VTBench: Disentangled and Human-Aligned Evaluation for Image-Based Virtual Try-on
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。