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 17 / 39 页

  1. NeurIPS 2025Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets
  2. NeurIPS 2025Enhancing Multilingual LLM Pretraining with Model-Based Data Selection
  3. NeurIPS 2025Entropy-Calibrated Label Distribution Learning
  4. NeurIPS 2025Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
  5. NeurIPS 2025EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
  6. NeurIPS 2025EPFL-Smart-Kitchen: An Ego-Exo Multi-Modal Dataset for Challenging Action and Motion Understanding in Video-Language Models
  7. NeurIPS 2025EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
  8. NeurIPS 2025Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
  9. NeurIPS 2025Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
  10. NeurIPS 2025Establishing Best Practices in Building Rigorous Agentic Benchmarks
  11. NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
  12. NeurIPS 2025EuroSpeech: A Multilingual Speech Corpus
  13. NeurIPS 2025EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
  14. NeurIPS 2025Evaluating multiple models using labeled and unlabeled data
  15. NeurIPS 2025Evaluating Program Semantics Reasoning with Type Inference in System $F$
  16. NeurIPS 2025Event-based HDR Structured Light
  17. NeurIPS 2025EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions
  18. NeurIPS 2025ExAct: A Video-Language Benchmark for Expert Action Analysis
  19. NeurIPS 2025Explaining and Mitigating Crosslingual Tokenizer Inequities
  20. NeurIPS 2025Exploiting Dynamic Sparsity in Einsum
  21. NeurIPS 2025Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data
  22. NeurIPS 2025Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation
  23. NeurIPS 2025Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
  24. NeurIPS 2025Factorio Learning Environment
  25. NeurIPS 2025FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
  26. NeurIPS 2025FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
  27. NeurIPS 2025FAIR Universe HiggsML Uncertainty Dataset and Competition
  28. NeurIPS 2025FairDD: Fair Dataset Distillation
  29. NeurIPS 2025Fantastic Bugs and Where to Find Them in AI Benchmarks
  30. NeurIPS 2025Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning
  31. NeurIPS 2025Fast Local Search Algorithms for Clustering with Adaptive Sampling and Bandit Strategies
  32. NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
  33. NeurIPS 2025FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed
  34. NeurIPS 2025FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding
  35. NeurIPS 2025FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
  36. NeurIPS 2025FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization
  37. NeurIPS 2025Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
  38. NeurIPS 2025FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition
  39. NeurIPS 2025FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models
  40. NeurIPS 2025Filter Like You Test: Data-Driven Data Filtering for CLIP Pretraining
  41. NeurIPS 2025FineGRAIN: Evaluating Failure Modes of Text-to-Image Models with Vision Language Model Judges
  42. NeurIPS 2025Fire360: A Benchmark for Robust Perception and Episodic Memory in Degraded 360° Firefighting Video
  43. NeurIPS 2025Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance
  44. NeurIPS 2025FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering
  45. NeurIPS 2025FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning
  46. NeurIPS 2025Flow Matching Neural Processes
  47. NeurIPS 2025FlySearch: Exploring how vision-language models explore
  48. NeurIPS 2025ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
  49. NeurIPS 2025Fostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
  50. NeurIPS 2025FraPPE: Fast and Efficient Preference-Based Pure Exploration

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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