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

67 papers, page 1 of 2

1. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
2. NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
3. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
4. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
5. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
6. NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
7. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
8. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
9. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
10. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
11. NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
12. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
13. NeurIPS 2024DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
14. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
15. NeurIPS 2024Effective Exploration Based on the Structural Information Principles
16. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
17. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
18. NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
19. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
20. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
21. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
22. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
23. NeurIPS 2024Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images
24. NeurIPS 2024Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
25. NeurIPS 2024Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
26. NeurIPS 2024Induced Model Matching: Restricted Models Help Train Full-Featured Models
27. NeurIPS 2024Information Re-Organization Improves Reasoning in Large Language Models
28. NeurIPS 2024Information-theoretic Generalization Analysis for Expected Calibration Error
29. NeurIPS 2024Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
30. NeurIPS 2024Is Value Learning Really the Main Bottleneck in Offline RL?
31. NeurIPS 2024Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
32. NeurIPS 2024Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
33. NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
34. NeurIPS 2024Mutual Information Estimation via $f$-Divergence and Data Derangements
35. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
36. NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
37. NeurIPS 2024Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
38. NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
39. NeurIPS 2024No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
40. NeurIPS 2024On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
41. NeurIPS 2024Online Estimation via Offline Estimation: An Information-Theoretic Framework
42. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
43. NeurIPS 2024Practical Shuffle Coding
44. NeurIPS 2024Protecting Your LLMs with Information Bottleneck
45. NeurIPS 2024Provable Partially Observable Reinforcement Learning with Privileged Information
46. NeurIPS 2024Qualitative Mechanism Independence
47. NeurIPS 2024Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
48. NeurIPS 2024Regret Minimization in Stackelberg Games with Side Information
49. NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
50. NeurIPS 2024Reinforcement Learning with Lookahead Information

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.