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

共 1,935 篇,第 3 / 39 页

  1. NeurIPS 2026Chem-PerturBridge: a harmonized compendium of small molecule perturbation transcriptomic effects
  2. NeurIPS 2026ChronosAlign: A Large-Scale, Updatable Benchmark for Decomposing Temporal Alignment in LLMs
  3. NeurIPS 2026Class Adaptive Conformal Training
  4. NeurIPS 2026Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
  5. NeurIPS 2026COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition
  6. NeurIPS 2026CoilStellaration: A Dataset and Benchmark for Engineering-Aware Stellarator Coilset Generation
  7. NeurIPS 2026CoLa3D: Composable Latent 3D Decomposition
  8. NeurIPS 2026Combating Camouflage and Forgetting: Spatio-Temporal Dual Denoising for Money Laundering Detection
  9. NeurIPS 2026Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
  10. NeurIPS 2026CompleteRXN: Toward Completing Open Chemical Reaction Databases
  11. NeurIPS 2026COMPOSE: Composing Future Theorems from Citations and Formal Structure
  12. NeurIPS 2026Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
  13. NeurIPS 2026Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations
  14. NeurIPS 2026Continuously-Augmented Hybrid Masked Diffusion Model for Data Imputation
  15. NeurIPS 2026ControlJEPA: Principled Trajectory Regularization via Lyapunov Tube Loss
  16. NeurIPS 2026Controllable and Content Based Recommendations
  17. NeurIPS 2026Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
  18. NeurIPS 2026CORAL: A Benchmark for Structure-aware and Brain-wide Neuron Reconstruction in Light Microscopy
  19. NeurIPS 2026CoRDS: Coreset-Based Representative and Diverse Selection for Streaming Video Understanding
  20. NeurIPS 2026Counterfactual Maps: What They Are and How to Find Them
  21. NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
  22. NeurIPS 2026CounterStrike-1K: A Multi-Perspective Dataset of Professional Gameplay for World Modeling
  23. NeurIPS 2026CREF: Forecasting Benchmarks for the Age of Agents
  24. NeurIPS 2026Cross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Derived Constrained Decoding for MLIR
  25. NeurIPS 2026Cross-Domain Knowledge Separation and Positive Transmission for Noisy Domain Incremental Learning
  26. NeurIPS 2026Crossing the Validation crisis: Cross-validation reduces benchmarking variance surprisingly well
  27. NeurIPS 2026CryoAtlas: A Large Curated Dataset and Unified Benchmark for Cryo-EM Atomic Model Building
  28. NeurIPS 2026CSI-TextBench: A Dataset and Benchmark for Language-Grounded Ambient Sensing Perception
  29. NeurIPS 2026CT-Lesion: A Multi-Region CT Dataset for Co-existing Lesion Segmentation and Detection
  30. NeurIPS 2026CyberDualEval: Measuring Dual-Use Cyber Risks in Frontier Language Models
  31. NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
  32. NeurIPS 2026Data-Constrained Language Model Pretraining: Improved Regularization and Scaling Laws
  33. NeurIPS 2026DataComp-VLM: Improved open datasets for Vision-Language Models
  34. NeurIPS 2026DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
  35. NeurIPS 2026Dataset Collections: Challenges of Large-Scale Data Aggregation in 3D Medical Image Datasets
  36. NeurIPS 2026Dataset Distillation via Drifting
  37. NeurIPS 2026DC-ViT: Modulating Spatial and Channel Interactions for Multi-Channel Images
  38. NeurIPS 2026DD-Ranking: Rethinking the Evaluation of Dataset Distillation
  39. NeurIPS 2026Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration
  40. NeurIPS 2026Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
  41. NeurIPS 2026Deep Research as Rubric
  42. NeurIPS 2026Denoising Implicit Variational Inference
  43. NeurIPS 2026Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
  44. NeurIPS 2026Derivative-Informed Training of Neural Operators On-the-Fly via Sketched Tangent Consistency
  45. NeurIPS 2026Detection and Classification in Latent Spaces: High-Dimensional Analysis and Validation
  46. NeurIPS 2026Differentiable Exact Learning of Algorithms
  47. NeurIPS 2026Differential Item Functioning as an Item-Level Diagnostic for LLM Benchmarks
  48. NeurIPS 2026Differentially Private Model Merging
  49. NeurIPS 2026DiffScore: Text Evaluation Beyond Autoregressive Likelihood
  50. NeurIPS 2026Disentangled Representation Learning via Flow Matching

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。

「效率与系统」下的其他主题