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 1,582 篇,第 26 / 32 页
- NeurIPS 2025Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning
- NeurIPS 2025LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups
- NeurIPS 2025LTD-Bench: Evaluating Large Language Models by Letting Them Draw
- NeurIPS 2025Mars-Bench: A Benchmark for Evaluating Foundation Models for Mars Science Tasks
- NeurIPS 2025MARS-VFL: A Unified Benchmark for Vertical Federated Learning with Realistic Evaluation
- NeurIPS 2025Massive Sound Embedding Benchmark (MSEB)
- NeurIPS 2025Matchings Under Biased and Correlated Evaluations
- NeurIPS 2025MathArena: Evaluating LLMs on Uncontaminated Math Competitions
- NeurIPS 2025Measuring AI Ability to Complete Long Software Tasks
- NeurIPS 2025Measuring Fingerprints of Web-filtered Text Datasets and Fingerprint Propagation Through Training
- NeurIPS 2025Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab
- NeurIPS 2025Measuring what Matters: Construct Validity in Large Language Model Benchmarks
- NeurIPS 2025MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
- NeurIPS 2025MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence
- NeurIPS 2025MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
- NeurIPS 2025MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
- NeurIPS 2025MedSG-Bench: A Benchmark for Medical Image Sequences Grounding
- NeurIPS 2025MergeBench: A Benchmark for Merging Domain-Specialized LLMs
- NeurIPS 2025MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
- NeurIPS 2025Merlin L48 Spectrogram Dataset
- NeurIPS 2025Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex
- NeurIPS 2025Metritocracy: Representative Metrics for Lite Benchmarks
- NeurIPS 2025MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models
- NeurIPS 2025Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge
- NeurIPS 2025MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
- NeurIPS 2025MiNT: Multi-Network Transfer Benchmark for Temporal Graph Learning
- NeurIPS 2025MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
- NeurIPS 2025MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations
- NeurIPS 2025Mitigating Hallucination in VideoLLMs via Temporal-Aware Activation Engineering
- NeurIPS 2025Mitigating Occlusions in Virtual Try-On via A Simple-Yet-Effective Mask-Free Framework
- NeurIPS 2025ML4CFD Competition: Results and Retrospective Analysis
- NeurIPS 2025ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
- NeurIPS 2025MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
- NeurIPS 2025MLLM-ISU: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models based Intrusion Scene Understanding
- NeurIPS 2025MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
- NeurIPS 2025MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
- NeurIPS 2025MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models
- NeurIPS 2025MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
- NeurIPS 2025MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes
- NeurIPS 2025MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
- NeurIPS 2025MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models
- NeurIPS 2025MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
- NeurIPS 2025MMOT: The First Challenging Benchmark for Drone-based Multispectral Multi-Object Tracking
- NeurIPS 2025MMPB: It’s Time for Multi-Modal Personalization
- NeurIPS 2025MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness
- NeurIPS 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark
- NeurIPS 2025mmWalk: Towards Multi-modal Multi-view Walking Assistance
- NeurIPS 2025Model Provenance Testing for Large Language Models
- NeurIPS 2025Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
- NeurIPS 2025MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
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。