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 637 篇,第 4 / 13 页

  1. NeurIPS 2025DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
  2. NeurIPS 2025Discrete Diffusion Models: Novel Analysis and New Sampler Guarantees
  3. NeurIPS 2025Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
  4. NeurIPS 2025Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data
  5. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
  6. NeurIPS 2025DQVis Dataset: Natural Language to Biomedical Visualization
  7. NeurIPS 2025DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
  8. NeurIPS 2025DroneAudioset: An Audio Dataset for Drone-based Search and Rescue
  9. NeurIPS 2025Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
  10. NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
  11. NeurIPS 2025DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
  12. NeurIPS 2025Dynamic Diameter in High-Dimensions against Adaptive Adversary and Beyond
  13. NeurIPS 2025EDBench: Large-Scale Electron Density Data for Molecular Modeling
  14. NeurIPS 2025EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
  15. NeurIPS 2025Efficient and Generalizable Mixed-Precision Quantization via Topological Entropy
  16. NeurIPS 2025Efficient Safe Meta-Reinforcement Learning: Provable Near-Optimality and Anytime Safety
  17. NeurIPS 2025EgoBlind: Towards Egocentric Visual Assistance for the Blind
  18. NeurIPS 2025EgoExoBench: A Benchmark for First- and Third-person View Video Understanding in MLLMs
  19. NeurIPS 2025EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding
  20. NeurIPS 2025EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Videos Generation
  21. NeurIPS 2025Embodied Crowd Counting
  22. NeurIPS 2025Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence
  23. NeurIPS 2025EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge
  24. NeurIPS 2025EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition
  25. NeurIPS 2025Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
  26. NeurIPS 2025EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
  27. NeurIPS 2025EngiBench: A Framework for Data-Driven Engineering Design Research
  28. NeurIPS 2025Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
  29. NeurIPS 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
  30. NeurIPS 2025Entropy-Calibrated Label Distribution Learning
  31. NeurIPS 2025Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
  32. NeurIPS 2025EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
  33. NeurIPS 2025EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
  34. NeurIPS 2025EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
  35. NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
  36. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
  37. NeurIPS 2025Establishing Best Practices in Building Rigorous Agentic Benchmarks
  38. NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
  39. NeurIPS 2025EuroSpeech: A Multilingual Speech Corpus
  40. NeurIPS 2025EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
  41. NeurIPS 2025Evaluating multiple models using labeled and unlabeled data
  42. NeurIPS 2025Evaluating Program Semantics Reasoning with Type Inference in System $F$
  43. NeurIPS 2025Event-based HDR Structured Light
  44. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
  45. NeurIPS 2025ExAct: A Video-Language Benchmark for Expert Action Analysis
  46. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
  47. NeurIPS 2025Exploiting Dynamic Sparsity in Einsum
  48. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
  49. NeurIPS 2025Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
  50. NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants

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