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

每年论文数

各会议论文数

按年份和会议统计

数据集与基准论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

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

全部数据集与基准论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,935 篇，第 29 / 39 页

  1. NeurIPS 2024emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography
  2. NeurIPS 2024EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
  3. NeurIPS 2024Empowering and Assessing the Utility of Large Language Models in Crop Science
  4. NeurIPS 2024Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
  5. NeurIPS 2024EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature
  6. NeurIPS 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
  7. NeurIPS 2024Estimating Epistemic and Aleatoric Uncertainty with a Single Model
  8. NeurIPS 2024Estimating the Hallucination Rate of Generative AI
  9. NeurIPS 2024Evaluating language models as risk scores
  10. NeurIPS 2024Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
  11. NeurIPS 2024Explaining Datasets in Words: Statistical Models with Natural Language Parameters
  12. NeurIPS 2024Exponential Quantum Communication Advantage in Distributed Inference and Learning
  13. NeurIPS 2024F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
  14. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
  15. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
  16. NeurIPS 2024FairJob: A Real-World Dataset for Fairness in Online Systems
  17. NeurIPS 2024FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model
  18. NeurIPS 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
  19. NeurIPS 2024FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
  20. NeurIPS 2024FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
  21. NeurIPS 2024Fetch and Forge: Efficient Dataset Condensation for Object Detection
  22. NeurIPS 2024FindingEmo: An Image Dataset for Emotion Recognition in the Wild
  23. NeurIPS 2024FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models
  24. NeurIPS 2024Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language
  25. NeurIPS 2024Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
  26. NeurIPS 2024FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
  27. NeurIPS 2024FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding
  28. NeurIPS 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
  29. NeurIPS 2024GAVEL: Generating Games via Evolution and Language Models
  30. NeurIPS 2024GC-Bench: An Open and Unified Benchmark for Graph Condensation
  31. NeurIPS 2024GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
  32. NeurIPS 2024Generalizablity of Memorization Neural Network
  33. NeurIPS 2024GeoPlant: Spatial Plant Species Prediction Dataset
  34. NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
  35. NeurIPS 2024Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
  36. NeurIPS 2024Graph Classification via Reference Distribution Learning: Theory and Practice
  37. NeurIPS 2024Graphcode: Learning from multiparameter persistent homology using graph neural networks
  38. NeurIPS 2024GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring
  39. NeurIPS 2024GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning
  40. NeurIPS 2024HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach
  41. NeurIPS 2024Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions
  42. NeurIPS 2024HelpSteer 2: Open-source dataset for training top-performing reward models
  43. NeurIPS 2024HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis
  44. NeurIPS 2024Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
  45. NeurIPS 2024HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods
  46. NeurIPS 2024How Does Message Passing Improve Collaborative Filtering?
  47. NeurIPS 2024How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
  48. NeurIPS 2024Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions
  49. NeurIPS 2024Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
  50. NeurIPS 2024Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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