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

190 papers, page 3 of 4

101. ICML 2024RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
102. ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
103. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
104. ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
105. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
106. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
107. ICML 2024Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
108. ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
109. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
110. ICML 2024Stealing part of a production language model
111. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
112. ICML 2024Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
113. ICML 2024The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
114. ICML 2024The Fundamental Limits of Least-Privilege Learning
115. ICML 2024TimeX++: Learning Time-Series Explanations with Information Bottleneck
116. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
117. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
118. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
119. ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
120. ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
121. ICML 2024USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
122. ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
123. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
124. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
125. NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
126. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
127. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
128. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
129. NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
130. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
131. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
132. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
133. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
134. NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
135. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
136. NeurIPS 2024DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
137. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
138. NeurIPS 2024Effective Exploration Based on the Structural Information Principles
139. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
140. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
141. NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
142. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
143. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
144. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
145. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
146. NeurIPS 2024Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images
147. NeurIPS 2024Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
148. NeurIPS 2024Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
149. NeurIPS 2024Induced Model Matching: Restricted Models Help Train Full-Featured Models
150. NeurIPS 2024Information Re-Organization Improves Reasoning in Large Language Models

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.