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

96 papers, page 1 of 2

1. NeurIPS 2026$\texttt{bispectrum}$: Selective $G$-Bispectra Made Practical
2. NeurIPS 2026A multi-scale information geometry reveals the structure of mutual information in neural populations
3. NeurIPS 2026A Simple Class-Agnostic Approach to Enhance Fair Adversarial Training
4. NeurIPS 2026Aggregation Dispersion: An Information-Geometric Diagnostic of Oversmoothing in Graph Neural Networks
5. NeurIPS 2026Amortized Optimal Transport from Sliced Potentials
6. NeurIPS 2026An exact information theory of generalization phase transitions in Bayesian diffusion models
7. NeurIPS 2026An Information-theoretic Framework for Auditing Unfairness in Training Data
8. NeurIPS 2026Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods
9. NeurIPS 2026Behavioral Probes for Information Flow in LLM Swarms
10. NeurIPS 2026Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
11. NeurIPS 2026Breaking Information Islands in Sparse Tuning via Small-World Connectivity
12. NeurIPS 2026CAM: Question Answering on Entity-Centric Videos with Continuous Extraction and Adaptive Querying
13. NeurIPS 2026Can LLMs Take Retrieved Information with a Grain of Salt?
14. NeurIPS 2026CENDRe: Concept Extraction with Natural Domain Representations
15. NeurIPS 2026Characterizing Memorization in Diffusion Language Models: Generalized Extraction and Sampling Effects
16. NeurIPS 2026CIG: Exploration via Conditional Information Gain
17. NeurIPS 2026CLIOPATRA: Extracting Private Information from LLM Insights
18. NeurIPS 2026Conclusions from Circuit Extraction Depend on the Level of Description: A Controlled Comparison
19. NeurIPS 2026Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games
20. NeurIPS 2026CruxBench: A Benchmark of Information Discovery
21. NeurIPS 2026Does Compression Imply Generalization? A Minimum Description Length Perspective
22. NeurIPS 2026Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
23. NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
24. NeurIPS 2026Extracting Training Data from Diffusion Language Models via Infilling
25. NeurIPS 2026Feature Information Dynamics in Diffusion
26. NeurIPS 2026FILOsofer: A TEE-Shielded Model Partitioning Framework based on Fisher Information-Guided LoRA Obfuscation
27. NeurIPS 2026Fine-Tuning Improves Information Conveyance in Language Models
28. NeurIPS 2026Finite-Sample and Communication-Efficient Networked Information Aggregation
29. NeurIPS 2026Fisher information and the geometry of memorization in neural networks
30. NeurIPS 2026Fisher-Glass: Tail Sample Complexity from Nuisance-Projected Fisher Information
31. NeurIPS 2026FMMI: Flow Matching Mutual Information Estimation
32. NeurIPS 2026From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs
33. NeurIPS 2026GISA: A Benchmark for General Information-Seeking Assistant
34. NeurIPS 2026Harnessing Data Asymmetry in Manifold Learning
35. NeurIPS 2026How Much Information is Needed for Accurate Kalman Filtering?
36. NeurIPS 2026Identified-Set Geometry of Distributional Model Extraction under Top-K Censored API Access
37. NeurIPS 2026Information bottleneck dynamics during learning across artificial and biological neural systems
38. NeurIPS 2026Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
39. NeurIPS 2026Information Discernment in Large Language Models
40. NeurIPS 2026Information Loss and Disparate Effects in Network Embeddings
41. NeurIPS 2026Information Parity for Code: The Scope of Transfer in Multilingual Code Models
42. NeurIPS 2026Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
43. NeurIPS 2026Information-Geometric Forward Policy Training in GFlowNets
44. NeurIPS 2026InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
45. NeurIPS 2026Intrinsic Information Theoretic Analysis of ReLU Nets
46. NeurIPS 2026Large Language Model Selection with Limited Annotations
47. NeurIPS 2026Learning Actionable Information Landscapes for Multimodal Active Sensing in Hawkmoths
48. NeurIPS 2026Learning to Persuade a Biased Receiver
49. NeurIPS 2026Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
50. NeurIPS 2026Learning to target with network interference

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.