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 1,987 篇，第 38 / 40 页

  1. NeurIPS 2026Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images
  2. NeurIPS 2026Selectivity and Shape in the Design of Forward-Forward Goodness Functions
  3. NeurIPS 2026Self-Evolving Agents Should Build Internal and External Models of the World
  4. NeurIPS 2026Self-Recognition Finetuning can Reverse and Prevent Emergent Misalignment
  5. NeurIPS 2026SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark
  6. NeurIPS 2026SGD at the Edge of Stability: The Stochastic Sharpness Gap
  7. NeurIPS 2026Sharpness, Stability, and Step-Size Scaling in Deep Polynomial Networks
  8. NeurIPS 2026Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace
  9. NeurIPS 2026Short-Context Dominance: How Much Local Context Natural Language Actually Needs?
  10. NeurIPS 2026Simple Baselines are Competitive with Code Evolution
  11. NeurIPS 2026Simplified Reversible Residual Networks
  12. NeurIPS 2026SimSD: Simple Speculative Decoding in Diffusion Language Models
  13. NeurIPS 2026Single-Pass Evidence Measurement for Interpretable and Uncertainty-Aware Multimodal Face Anti-Spoofing
  14. NeurIPS 2026SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles
  15. NeurIPS 2026SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
  16. NeurIPS 2026SkipSR: Faster Super-Resolution with Token Skipping
  17. NeurIPS 2026SLAyiNG: A Diverse and Community-validated Dataset of Queer Slang
  18. NeurIPS 2026SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
  19. NeurIPS 2026sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics
  20. NeurIPS 2026SourceBench: Can AI Answers Reference Quality Web Sources?
  21. NeurIPS 2026Sparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
  22. NeurIPS 2026Spectral Transformer Neural Processes
  23. NeurIPS 2026Spectral-Spatial Interpretation
  24. NeurIPS 2026Spik-NeRF v2: Pushing the Limit of Spiking Neural Radiance Fields with $ \pm $I-LIF
  25. NeurIPS 2026Spike-SFT: Selective Parameter Enhancement and Fusion for Efficient Spiking Neural Networks
  26. NeurIPS 2026Spin-Weighted Spherical Harmonics Enable Complete and Scalable E(3)-Equivariant Networks
  27. NeurIPS 2026Splatting the Invisible: Geometry and Appearance Scene Completion from Sparse Views
  28. NeurIPS 2026Split-RL: Local Conflict Resolution in Reinforcement Learning
  29. NeurIPS 2026Sponsored Questions and How to Auction Them
  30. NeurIPS 2026SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation
  31. NeurIPS 2026SREGym: A Live Benchmark for AI SRE Agents with High-Fidelity Failure Scenarios
  32. NeurIPS 2026Stability-Enhanced Federated Learning with Accelerated Gradient
  33. NeurIPS 2026STAC-R: Subspace-Tracked Activation Compression with Residuals
  34. NeurIPS 2026StarCraft Motion: A Dataset for Agent Simulation in Adversarial and Partially Observable Scenarios
  35. NeurIPS 2026State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
  36. NeurIPS 2026STParOpt: An End-to-End Framework for Execution-Aware Parallelism Inference and Optimized CUDA Migration
  37. NeurIPS 2026Strategic Evaluation: Incentivizing AI Capability Coverage with Private Benchmarks
  38. NeurIPS 2026Strategic Feature Selection and Regularization
  39. NeurIPS 2026Stress-Testing Neural Network Verifiers with Provably Robust Instances
  40. NeurIPS 2026Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment
  41. NeurIPS 2026Submodular Benchmark Selection
  42. NeurIPS 2026SUPERVISE: A Unified Framework for Standardized and Reproducible Superpixel Evaluation
  43. NeurIPS 2026Surprisingly consistent failures of post-hoc OOD detectors reveal security concerns in open-set recognition with modern CNNs and ViTs, stemming from representation mismatch
  44. NeurIPS 2026SurvCancel: A Longitudinal Dataset and Benchmark for Dynamic Order Cancellation Prediction in On-Demand Ride-Sharing Systems
  45. NeurIPS 2026SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
  46. NeurIPS 2026SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes
  47. NeurIPS 2026T$^2$-Splat: Adaptive Topology Mesh Splatting with Texture Residuals
  48. NeurIPS 2026TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning
  49. NeurIPS 2026TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
  50. NeurIPS 2026TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering

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