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

63 papers, page 1 of 2

1. ICLR 2026A Benchmark for Deep Information Synthesis
2. ICLR 2026A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
3. ICLR 2026Adaptive Width Neural Networks
4. ICLR 2026Agentic Collaboration as an Information Bottleneck Problem
5. ICLR 2026An Information-Theoretic Parameter-Free Bayesian Framework for Probing Labeled Dependency Trees from Attention Score
6. ICLR 2026An Optimal Diffusion Approach to Quadratic Rate-Distortion Problems: New Solution and Approximation Methods
7. ICLR 2026Automata Learning and Identification of the Support of Language Models
8. ICLR 2026Calibrated Information Bottleneck for Trusted Multi-modal Clustering
9. ICLR 2026CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation
10. ICLR 2026COMI: Coarse-to-fine Context Compression via Marginal Information Gain
11. ICLR 2026Computational Bottlenecks for Denoising Diffusions
12. ICLR 2026Concepts' Information Bottleneck Models
13. ICLR 2026Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
14. ICLR 2026Contrastive Predictive Coding Done Right for Mutual Information Estimation
15. ICLR 2026Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
16. ICLR 2026Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
17. ICLR 2026Deconstructing Positional Information: From Attention Logits to Training Biases
18. ICLR 2026Deterministic Bounds and Random Estimates of Metric Tensors on Neuromanifolds
19. ICLR 2026Differentiable JPEG-based Input Perturbation for Knowledge Distillation Amplification via Conditional Mutual Information Maximization
20. ICLR 2026Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
21. ICLR 2026Explaining Grokking and Information Bottleneck through Neural Collapse Emergence
22. ICLR 2026Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry
23. ICLR 2026FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models
24. ICLR 2026Frequency-Balanced Retinal Representation Learning with Mutual Information Regularization
25. ICLR 2026Improving Semantic Proximity in English-Centric Information Retrieval through Cross-Lingual Alignment
26. ICLR 2026InfoBridge: Mutual Information estimation via Bridge Matching
27. ICLR 2026InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
28. ICLR 2026Information Estimation with Discrete Diffusion
29. ICLR 2026Information Shapes Koopman Representation
30. ICLR 2026Information-based Value Iteration Networks for Decision Making Under Uncertainty
31. ICLR 2026InfoScan: Information-Efficient Visual Scanning via Resource-Adaptive Walks
32. ICLR 2026InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
33. ICLR 2026Learning a distance measure from the information-estimation geometry of data
34. ICLR 2026LiveWeb-IE: A Benchmark For Online Web Information Extraction
35. ICLR 2026Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
36. ICLR 2026Look-ahead Reasoning with a Learned Model in Imperfect Information Games
37. ICLR 2026Lossy Common Information in a Learnable Gray-Wyner Network
38. ICLR 2026Map the Flow: Revealing Hidden Pathways of Information in VideoLLMs
39. ICLR 2026Maximizing Incremental Information Entropy for Contrastive Learning
40. ICLR 2026Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
41. ICLR 2026Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
42. ICLR 2026Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
43. ICLR 2026OrthoSolver: A Neural Proper Orthogonal Decomposition Solver For PDEs
44. ICLR 2026Pareto Variational Autoencoder
45. ICLR 2026Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint
46. ICLR 2026Readout Representation: Redefining Neural Codes by Input Recovery
47. ICLR 2026RedacBench: Can AI Erase Your Secrets?
48. ICLR 2026Scaling Bayesian Experimental Design to High-Dimensions with Information-Guided Diffusion
49. ICLR 2026SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
50. ICLR 2026Sequential Information Bottleneck Fusion: Towards Robust and Generalizable Multi-Modal Brain Tumor Segmentation

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.