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 36 篇，第 1 / 1 页

1. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
2. ICLR 2024Augmenting Transformers with Recursively Composed Multi-grained Representations
3. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
4. ICLR 2024Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
5. ICLR 2024Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
6. ICLR 2024Cauchy-Schwarz Divergence Information Bottleneck for Regression
7. ICLR 2024CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
8. ICLR 2024Conditional Information Bottleneck Approach for Time Series Imputation
9. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
10. ICLR 2024Dynamic Discounted Counterfactual Regret Minimization
11. ICLR 2024Dynamic Neural Response Tuning
12. ICLR 2024Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
13. ICLR 2024Entropy Coding of Unordered Data Structures
14. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
15. ICLR 2024Faithful Rule Extraction for Differentiable Rule Learning Models
16. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
17. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
18. ICLR 2024Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
19. ICLR 2024Information Retention via Learning Supplemental Features
20. ICLR 2024Interpretable Diffusion via Information Decomposition
21. ICLR 2024Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
22. ICLR 2024Leave-one-out Distinguishability in Machine Learning
23. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
24. ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
25. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
26. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
27. ICLR 2024Nougat: Neural Optical Understanding for Academic Documents
28. ICLR 2024Online Information Acquisition: Hiring Multiple Agents
29. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
30. ICLR 2024PRIME: Prioritizing Interpretability in Failure Mode Extraction
31. ICLR 2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
32. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
33. ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
34. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
35. ICLR 2024Teach LLMs to Phish: Stealing Private Information from Language Models
36. ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs

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。