数据集与基准论文趋势 2023–2026

主要结论

• 数据集与基准论文从 2023 年的 937 篇增长到 2026 年的 1,991 篇，三年间扩大到约 2.1 倍。
• NeurIPS 是发数据集与基准论文最多的会议，2023–2026 年共 1,935 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 194 篇。
• 在「效率与系统」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的硬件协同是 4.4 倍，数据集与基准是 2.1 倍。

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

• NeurIPS 2026A Surrogate Perspective on Convergence of Fixed-Target DQN
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
• CVPR 20264DEquine Disentangling Motion and Appearance for 4D Equine Reconstruction from
• NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
• ICML 2025Active Evaluation Acquisition for Efficient LLM Benchmarking
• ICLR 2025$F^3Set$: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
• CVPR 20253D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
• NeurIPS 2024A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
• ICML 2024A connection between Tempering and Entropic Mirror Descent
• ICLR 2024A Benchmark Study on Calibration
• CVPR 2024Data Valuation and Detections in Federated Learning
• NeurIPS 2023$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
• ICML 2023A Picture of the Space of Typical Learnable Tasks
• ICLR 2023$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
• CVPR 2023A Bag-of-Prototypes Representation for Dataset-Level Applications
• NeurIPS 2026A Theoretical Bridge Between Long-Tailed Recognition and Continual Learning
• ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
• ICLR 2026A Fictional Q&A Dataset for Studying Memorization and Knowledge Acquisition
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and

全部数据集与基准论文

共 419 篇，第 3 / 9 页

101. ICLR 2025Do Large Language Models Truly Understand Geometric Structures?
102. ICLR 2025Do LLMs estimate uncertainty well in instruction-following?
103. ICLR 2025Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
104. ICLR 2025Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives
105. ICLR 2025Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
106. ICLR 2025DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation
107. ICLR 2025DRoP: Distributionally Robust Data Pruning
108. ICLR 2025Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
109. ICLR 2025Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
110. ICLR 2025Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
111. ICLR 2025Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs
112. ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
113. ICLR 2025Efficient Cross-Episode Meta-RL
114. ICLR 2025ELFS: Label-Free Coreset Selection with Proxy Training Dynamics
115. ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
116. ICLR 2025Equivariant Neural Functional Networks for Transformers
117. ICLR 2025EvA: Erasing Spurious Correlations with Activations
118. ICLR 2025Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
119. ICLR 2025Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
120. ICLR 2025Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
121. ICLR 2025Expected Sliced Transport Plans
122. ICLR 2025Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
123. ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
124. ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
125. ICLR 2025Facilitating Multi-turn Function Calling for LLMs via Compositional Instruction Tuning
126. ICLR 2025Fair Clustering in the Sliding Window Model
127. ICLR 2025FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs
128. ICLR 2025FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
129. ICLR 2025Fantastic Copyrighted Beasts and How (Not) to Generate Them
130. ICLR 2025Fast Summation of Radial Kernels via QMC Slicing
131. ICLR 2025Fast training and sampling of Restricted Boltzmann Machines
132. ICLR 2025Faster Algorithms for Structured Linear and Kernel Support Vector Machines
133. ICLR 2025Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
134. ICLR 2025Feedback Schrödinger Bridge Matching
135. ICLR 2025Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
136. ICLR 2025Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
137. ICLR 2025Find A Winning Sign: Sign Is All We Need to Win the Lottery
138. ICLR 2025ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
139. ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
140. ICLR 2025From Tokens to Lattices: Emergent Lattice Structures in Language Models
141. ICLR 2025Fully-inductive Node Classification on Arbitrary Graphs
142. ICLR 2025GameArena: Evaluating LLM Reasoning through Live Computer Games
143. ICLR 2025GenDataAgent: On-the-fly Dataset Augmentation with Synthetic Data
144. ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
145. ICLR 2025Generalizing Weisfeiler-Lehman Kernels to Subgraphs
146. ICLR 2025GenXD: Generating Any 3D and 4D Scenes
147. ICLR 2025GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction
148. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
149. ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
150. ICLR 2025GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs

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。