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

65 papers, page 1 of 2

1. ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
2. ICML 2024An Information Theoretic Approach to Interaction-Grounded Learning
3. ICML 2024An Information-Theoretic Analysis of In-Context Learning
4. ICML 2024Assessing Large Language Models on Climate Information
5. ICML 2024Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
6. ICML 2024Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
7. ICML 2024Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
8. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
9. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
10. ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
11. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
12. ICML 2024Discovering Environments with XRM
13. ICML 2024Error Feedback Can Accurately Compress Preconditioners
14. ICML 2024Gaussian Processes on Cellular Complexes
15. ICML 2024Highway Value Iteration Networks
16. ICML 2024How to Leverage Diverse Demonstrations in Offline Imitation Learning
17. ICML 2024Improving Computational Complexity in Statistical Models with Local Curvature Information
18. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
19. ICML 2024Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
20. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
21. ICML 2024Information Flow in Self-Supervised Learning
22. ICML 2024Information-Directed Pessimism for Offline Reinforcement Learning
23. ICML 2024Interpreting Equivariant Representations
24. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
25. ICML 2024Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
26. ICML 2024Learning High-Order Relationships of Brain Regions
27. ICML 2024Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
28. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
29. ICML 2024Localizing Task Information for Improved Model Merging and Compression
30. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
31. ICML 2024Matrix Information Theory for Self-Supervised Learning
32. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
33. ICML 2024No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
34. ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
35. ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
36. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
37. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
38. ICML 2024Pi-DUAL: Using privileged information to distinguish clean from noisy labels
39. ICML 2024Prospective Side Information for Latent MDPs
40. ICML 2024Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
41. ICML 2024Repeat After Me: Transformers are Better than State Space Models at Copying
42. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
43. ICML 2024RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
44. ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
45. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
46. ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
47. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
48. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
49. ICML 2024Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
50. ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach

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.