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

175 papers, page 3 of 4

101. ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
102. ICLR 2025Projection Head is Secretly an Information Bottleneck
103. ICLR 2025Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
104. ICLR 2025Scalable Extraction of Training Data from Aligned, Production Language Models
105. ICLR 2025Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
106. ICLR 2025Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
107. ICLR 2025Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
108. ICLR 2025The Value of Sensory Information to a Robot
109. ICLR 2025TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
110. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
111. ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
112. ICLR 2025VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?
113. ICLR 2025What should a neuron aim for? Designing local objective functions based on information theory
114. ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
115. ICLR 2024Augmenting Transformers with Recursively Composed Multi-grained Representations
116. ICLR 2024Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
117. ICLR 2024Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification
118. ICLR 2024Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
119. ICLR 2024Cauchy-Schwarz Divergence Information Bottleneck for Regression
120. ICLR 2024CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
121. ICLR 2024Conditional Information Bottleneck Approach for Time Series Imputation
122. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
123. ICLR 2024Dynamic Discounted Counterfactual Regret Minimization
124. ICLR 2024Dynamic Neural Response Tuning
125. ICLR 2024Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
126. ICLR 2024Entropy Coding of Unordered Data Structures
127. ICLR 2024Estimating Conditional Mutual Information for Dynamic Feature Selection
128. ICLR 2024Faithful Rule Extraction for Differentiable Rule Learning Models
129. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
130. ICLR 2024GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
131. ICLR 2024Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
132. ICLR 2024Information Retention via Learning Supplemental Features
133. ICLR 2024Interpretable Diffusion via Information Decomposition
134. ICLR 2024Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
135. ICLR 2024Leave-one-out Distinguishability in Machine Learning
136. ICLR 2024Meta-Learning Priors Using Unrolled Proximal Networks
137. ICLR 2024MINDE: Mutual Information Neural Diffusion Estimation
138. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
139. ICLR 2024Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
140. ICLR 2024Nougat: Neural Optical Understanding for Academic Documents
141. ICLR 2024Online Information Acquisition: Hiring Multiple Agents
142. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
143. ICLR 2024PRIME: Prioritizing Interpretability in Failure Mode Extraction
144. ICLR 2024Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
145. ICLR 2024Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
146. ICLR 2024Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
147. ICLR 2024Separating common from salient patterns with Contrastive Representation Learning
148. ICLR 2024Teach LLMs to Phish: Stealing Private Information from Language Models
149. ICLR 2024Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
150. ICLR 2023A VAE for Transformers with Nonparametric Variational Information Bottleneck

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.