信息抽取论文趋势 2023–2026

主要结论

• 信息抽取论文从 2023 年的 143 篇增长到 2026 年的 266 篇，三年间扩大到约 1.9 倍。
• NeurIPS 是发信息抽取论文最多的会议，2023–2026 年共 287 篇，占四个会议总量的 36%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 28 篇。
• 在「自然语言」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的检索增强生成是 5.4 倍，信息抽取是 1.9 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 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
• ICML 2026AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
• ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
• CVPR 2026ActiveGrasp Information-Guided Active Grasping with Calibrated Energy-based Model
• NeurIPS 2025A Pre-training Framework for Relational Data with Information-theoretic Principles
• ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
• ICLR 2025ADAM: An Embodied Causal Agent in Open-World Environments
• CVPR 2025A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
• NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
• ICML 2024An Information-Theoretic Analysis of In-Context Learning
• ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
• CVPR 2024Differentiable Information Bottleneck for Deterministic Multi-view Clustering
• NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
• ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
• ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
• CVPR 2023"Seeing" Electric Network Frequency From Events
• NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
• ICML 2026GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation
• ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
• CVPR 2026Beyond Whats Shared Recovering Lost Unique Information from Intermediate Layers

全部信息抽取论文

共 26 篇，第 1 / 1 页

1. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck
2. ICLR 2023An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
3. ICLR 2023Bayesian Oracle for bounding information gain in neural encoding models
4. ICLR 2023Can discrete information extraction prompts generalize across language models?
5. ICLR 2023Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation
6. ICLR 2023Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
7. ICLR 2023Evolving Populations of Diverse RL Agents with MAP-Elites
8. ICLR 2023FIT: A Metric for Model Sensitivity
9. ICLR 2023Information Plane Analysis for Dropout Neural Networks
10. ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
11. ICLR 2023Information-Theoretic Diffusion
12. ICLR 2023Interpretability with full complexity by constraining feature information
13. ICLR 2023Is Attention All That NeRF Needs?
14. ICLR 2023Measure the Predictive Heterogeneity
15. ICLR 2023Measuring Forgetting of Memorized Training Examples
16. ICLR 2023Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
17. ICLR 2023Perfectly Secure Steganography Using Minimum Entropy Coupling
18. ICLR 2023Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information
19. ICLR 2023Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
20. ICLR 2023Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
21. ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
22. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
23. ICLR 2023Trading Information between Latents in Hierarchical Variational Autoencoders
24. ICLR 2023TypeT5: Seq2seq Type Inference using Static Analysis
25. ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
26. ICLR 2023Variational Information Pursuit for Interpretable Predictions

常见问题

2023–2026 年四大会议一共有多少篇信息抽取论文？

共 798 篇，按年份分别是 2023 年 143 篇、2024 年 190 篇、2025 年 199 篇、2026 年 266 篇。

NeurIPS 2026 有多少篇信息抽取论文？

NeurIPS 2026 有 96 篇信息抽取论文，上一届是 80 篇。

ICLR 2026 有多少篇信息抽取论文？

ICLR 2026 有 63 篇信息抽取论文，上一届是 50 篇。

ICML 2026 有多少篇信息抽取论文？

ICML 2026 有 74 篇信息抽取论文，上一届是 46 篇。

CVPR 2026 有多少篇信息抽取论文？

CVPR 2026 有 33 篇信息抽取论文，上一届是 23 篇。

哪个会议的信息抽取论文最多？

NeurIPS，2023–2026 年共 287 篇。