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

798 papers, page 11 of 16

501. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
502. ICLR 2024Faithful Rule Extraction for Differentiable Rule Learning Models
503. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
504. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
505. ICLR 2024Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
506. ICLR 2024Information Retention via Learning Supplemental Features
507. ICLR 2024Interpretable Diffusion via Information Decomposition
508. ICLR 2024Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
509. ICLR 2024Leave-one-out Distinguishability in Machine Learning
510. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
511. ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
512. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
513. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
514. ICLR 2024Nougat: Neural Optical Understanding for Academic Documents
515. ICLR 2024Online Information Acquisition: Hiring Multiple Agents
516. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
517. ICLR 2024PRIME: Prioritizing Interpretability in Failure Mode Extraction
518. ICLR 2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
519. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
520. ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
521. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
522. ICLR 2024Teach LLMs to Phish: Stealing Private Information from Language Models
523. ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
524. ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
525. ICML 2024An Information Theoretic Approach to Interaction-Grounded Learning
526. ICML 2024An Information-Theoretic Analysis of In-Context Learning
527. ICML 2024Assessing Large Language Models on Climate Information
528. ICML 2024Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
529. ICML 2024Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
530. ICML 2024Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
531. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
532. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
533. ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
534. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
535. ICML 2024Discovering Environments with XRM
536. ICML 2024Error Feedback Can Accurately Compress Preconditioners
537. ICML 2024Gaussian Processes on Cellular Complexes
538. ICML 2024Highway Value Iteration Networks
539. ICML 2024How to Leverage Diverse Demonstrations in Offline Imitation Learning
540. ICML 2024Improving Computational Complexity in Statistical Models with Local Curvature Information
541. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
542. ICML 2024Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
543. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
544. ICML 2024Information Flow in Self-Supervised Learning
545. ICML 2024Information-Directed Pessimism for Offline Reinforcement Learning
546. ICML 2024Interpreting Equivariant Representations
547. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
548. ICML 2024Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
549. ICML 2024Learning High-Order Relationships of Brain Regions
550. ICML 2024Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

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.