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 635 篇,第 6 / 13 页
- ICLR 2026GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic Tasks
- ICLR 2026GraphUniverse: Enabling Systematic Evaluation of Inductive Generalization
- ICLR 2026Grounding and Enhancing Informativeness and Utility in Dataset Distillation
- ICLR 2026Grounding Computer Use Agents on Human Demonstrations
- ICLR 2026GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
- ICLR 2026GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
- ICLR 2026H$^3$GNNs: Harmonizing Heterophily and Homophily in GNNs via Self-Supervised Node Encoding
- ICLR 2026HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
- ICLR 2026HardcoreLogic: Challenging Large Reasoning Models with Long-tail Logic Puzzle Games
- ICLR 2026HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithimic Coding
- ICLR 2026Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in LLMs
- ICLR 2026Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
- ICLR 2026HeurekaBench: A Benchmarking Framework for AI Co-scientist
- ICLR 2026HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
- ICLR 2026Hierarchical Concept-based Interpretable Models
- ICLR 2026How Do Medical MLLMs Fail? A Study on Visual Grounding in Medical Images
- ICLR 2026How hard is learning to cut? Trade-offs and sample complexity
- ICLR 2026How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective
- ICLR 2026How NOT to benchmark your SITE metric: Beyond Static Leaderboards and Towards Realistic Evaluation.
- ICLR 2026How Reliable is Language Model Micro-Benchmarking?
- ICLR 2026HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals
- ICLR 2026HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
- ICLR 2026Human Behavior Atlas: Benchmarking Unified Psychological And Social Behavior Understanding
- ICLR 2026Human or Machine? A Preliminary Turing Test for Speech-to-Speech Interaction
- ICLR 2026Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
- ICLR 2026Human-AI Curation Synergy: Scaling Preference Data Curation via Human-Guided AI Feedback
- ICLR 2026Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
- ICLR 2026HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
- ICLR 2026HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
- ICLR 2026Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
- ICLR 2026ICYM2I: The illusion of multimodal informativeness under missingness
- ICLR 2026IF-VidCap: Can Video Caption Models Follow Instructions?
- ICLR 2026Image Quality Assessment for Embodied AI
- ICLR 2026ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
- ICLR 2026ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases
- ICLR 2026InclusiveVidPose: Bridging the Pose Estimation Gap for Individuals with Limb Deficiencies in Video-Based Motion
- ICLR 2026Inconsistency Biases in Dynamic Data Pruning
- ICLR 2026InfoDet: A Dataset for Infographic Element Detection
- ICLR 2026InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
- ICLR 2026Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study
- ICLR 2026InnoGym: Benchmarking the Innovation Potential of AI Agents
- ICLR 2026InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research
- ICLR 2026Interactive Agents to Overcome Underspecificity in Software Engineering
- ICLR 2026Interference-Isolated Elastic Weight Consolidation and Knowledge Calibration for Incremental Object Detection
- ICLR 2026Internal Evaluation of Density-Based Clusterings with Noise
- ICLR 2026InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
- ICLR 2026InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
- ICLR 2026Intrinsic Lorentz Neural Network
- ICLR 2026Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
- ICLR 2026Is Graph Unlearning Ready for Practice? A Benchmark on Efficiency, Utility, and Forgetting
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。