Information Extraction papers, 2023–2026

Key findings

• Information Extraction went from 143 papers in 2023 to 266 in 2026, roughly 1.9x in three years.
• NeurIPS publishes the most Information Extraction work: 287 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 28 in 2026.
• Among the 5 topics under Natural Language, it ranks #3 by 2026 paper count; the fastest grower in the group, Retrieval-Augmented Generation, is up 5.4x versus 1.9x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Information Extraction papers

46 papers, page 1 of 1

1. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
2. ICML 2025A Theoretical Justification for Asymmetric Actor-Critic Algorithms
3. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
4. ICML 2025Adaptive Elicitation of Latent Information Using Natural Language
5. ICML 2025Aligning Multimodal Representations through an Information Bottleneck
6. ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
7. ICML 2025An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
8. ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
9. ICML 2025CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
10. ICML 2025Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
11. ICML 2025Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
12. ICML 2025De-mark: Watermark Removal in Large Language Models
13. ICML 2025DeepCrossAttention: Supercharging Transformer Residual Connections
14. ICML 2025Disentangling and Integrating Relational and Sensory Information in Transformer Architectures
15. ICML 2025DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
16. ICML 2025Efficiently Access Diffusion Fisher: Within the Outer Product Span Space
17. ICML 2025Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
18. ICML 2025Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective
19. ICML 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
20. ICML 2025Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
21. ICML 2025FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
22. ICML 2025Fragments to Facts: Partial-Information Fragment Inference from LLMs
23. ICML 2025Functional Alignment Can Mislead: Examining Model Stitching
24. ICML 2025Generalization in Federated Learning: A Conditional Mutual Information Framework
25. ICML 2025Graph4MM: Weaving Multimodal Learning with Structural Information
26. ICML 2025Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting
27. ICML 2025Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
28. ICML 2025Learning Likelihood-Free Reference Priors
29. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
30. ICML 2025Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
31. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
32. ICML 2025Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
33. ICML 2025On the Importance of Gaussianizing Representations
34. ICML 2025Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
35. ICML 2025Optimal Information Retention for Time-Series Explanations
36. ICML 2025PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
37. ICML 2025Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
38. ICML 2025Position: Language model developers should report train-test overlap
39. ICML 2025ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
40. ICML 2025Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
41. ICML 2025ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
42. ICML 2025Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
43. ICML 2025Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density
44. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
45. ICML 2025The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
46. ICML 2025ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think

FAQ

How many Information Extraction papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

798 in total: 143 in 2023, 190 in 2024, 199 in 2025, 266 in 2026.

How many Information Extraction papers are at NeurIPS 2026?

NeurIPS 2026 has 96 Information Extraction papers, versus 80 the year before.

How many Information Extraction papers are at ICLR 2026?

ICLR 2026 has 63 Information Extraction papers, versus 50 the year before.

How many Information Extraction papers are at ICML 2026?

ICML 2026 has 74 Information Extraction papers, versus 46 the year before.

How many Information Extraction papers are at CVPR 2026?

CVPR 2026 has 33 Information Extraction papers, versus 23 the year before.

Which conference publishes the most Information Extraction papers?

NeurIPS, with 287 papers from 2023 to 2026.