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 5,852 篇，第 81 / 118 页

  1. ICLR 2024EQA-MX: Embodied Question Answering using Multimodal Expression
  2. ICLR 2024Evaluating Language Model Agency Through Negotiations
  3. ICLR 2024Evaluating Large Language Models at Evaluating Instruction Following
  4. ICLR 2024EX-Graph: A Pioneering Dataset Bridging Ethereum and X
  5. ICLR 2024Explaining Time Series via Contrastive and Locally Sparse Perturbations
  6. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
  7. ICLR 2024Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
  8. ICLR 2024FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
  9. ICLR 2024Ferret: Refer and Ground Anything Anywhere at Any Granularity
  10. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
  11. ICLR 2024FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
  12. ICLR 2024FOSI: Hybrid First and Second Order Optimization
  13. ICLR 2024Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
  14. ICLR 2024From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
  15. ICLR 2024GAIA: a benchmark for General AI Assistants
  16. ICLR 2024Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
  17. ICLR 2024GIO: Gradient Information Optimization for Training Dataset Selection
  18. ICLR 2024GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks
  19. ICLR 2024GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
  20. ICLR 2024Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
  21. ICLR 2024HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
  22. ICLR 2024HoloNets: Spectral Convolutions do extend to Directed Graphs
  23. ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
  24. ICLR 2024Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
  25. ICLR 2024Hypergraph Dynamic System
  26. ICLR 2024I-PHYRE: Interactive Physical Reasoning
  27. ICLR 2024Idempotence and Perceptual Image Compression
  28. ICLR 2024ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms
  29. ICLR 2024ImagenHub: Standardizing the evaluation of conditional image generation models
  30. ICLR 2024Improved algorithm and bounds for successive projection
  31. ICLR 2024Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
  32. ICLR 2024Improving Offline RL by Blending Heuristics
  33. ICLR 2024Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
  34. ICLR 2024InstructDET: Diversifying Referring Object Detection with Generalized Instructions
  35. ICLR 2024InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
  36. ICLR 2024InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
  37. ICLR 2024Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
  38. ICLR 2024KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
  39. ICLR 2024KoLA: Carefully Benchmarking World Knowledge of Large Language Models
  40. ICLR 2024Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
  41. ICLR 2024Language Model Cascades: Token-Level Uncertainty And Beyond
  42. ICLR 2024Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication
  43. ICLR 2024Large Language Models Are Not Robust Multiple Choice Selectors
  44. ICLR 2024Large Language Models as Automated Aligners for benchmarking Vision-Language Models
  45. ICLR 2024Layer-wise linear mode connectivity
  46. ICLR 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions
  47. ICLR 2024Learning from Sparse Offline Datasets via Conservative Density Estimation
  48. ICLR 2024Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
  49. ICLR 2024Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
  50. ICLR 2024Learning to Jointly Understand Visual and Tactile Signals

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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