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

231 papers, page 3 of 5

101. ICML 2025Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback
102. ICML 2025Learning Likelihood-Free Reference Priors
103. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
104. ICML 2025Matrix Completion with Incomplete Side Information via Orthogonal Complement Projection
105. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
106. ICML 2025Noise-Guided Predicate Representation Extraction and Diffusion-Enhanced Discretization for Scene Graph Generation
107. ICML 2025On the Importance of Gaussianizing Representations
108. ICML 2025Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
109. ICML 2025Optimal Information Retention for Time-Series Explanations
110. ICML 2025PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
111. ICML 2025Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
112. ICML 2025Position: Language model developers should report train-test overlap
113. ICML 2025ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
114. ICML 2025Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks
115. ICML 2025ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
116. ICML 2025Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
117. ICML 2025Sharp Optimality of Simple, Plug-in Estimation of the Fisher Information of a Smoothed Density
118. ICML 2025Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
119. ICML 2025The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability
120. ICML 2025ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
121. ICML 2024Accurate LoRA-Finetuning Quantization of LLMs via Information Retention
122. ICML 2024An Information Theoretic Approach to Interaction-Grounded Learning
123. ICML 2024An Information-Theoretic Analysis of In-Context Learning
124. ICML 2024Assessing Large Language Models on Climate Information
125. ICML 2024Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
126. ICML 2024Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?
127. ICML 2024Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
128. ICML 2024CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
129. ICML 2024Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information
130. ICML 2024Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
131. ICML 2024Defense against Model Extraction Attack by Bayesian Active Watermarking
132. ICML 2024Discovering Environments with XRM
133. ICML 2024Error Feedback Can Accurately Compress Preconditioners
134. ICML 2024Gaussian Processes on Cellular Complexes
135. ICML 2024Highway Value Iteration Networks
136. ICML 2024How to Leverage Diverse Demonstrations in Offline Imitation Learning
137. ICML 2024Improving Computational Complexity in Statistical Models with Local Curvature Information
138. ICML 2024Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach
139. ICML 2024Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
140. ICML 2024InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
141. ICML 2024Information Flow in Self-Supervised Learning
142. ICML 2024Information-Directed Pessimism for Offline Reinforcement Learning
143. ICML 2024Interpreting Equivariant Representations
144. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
145. ICML 2024Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
146. ICML 2024Learning High-Order Relationships of Brain Regions
147. ICML 2024Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
148. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
149. ICML 2024Localizing Task Information for Improved Model Merging and Compression
150. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective

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.