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

287 papers, page 4 of 6

151. NeurIPS 2025Neural Mutual Information Estimation with Vector Copulas
152. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
153. NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
154. NeurIPS 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
155. NeurIPS 2025Plasticity as the Mirror of Empowerment
156. NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
157. NeurIPS 2025Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
158. NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
159. NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
160. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
161. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
162. NeurIPS 2025Sparse Optimistic Information Directed Sampling
163. NeurIPS 2025Spiking Neural Networks Need High-Frequency Information
164. NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
165. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
166. NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
167. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
168. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
169. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
170. NeurIPS 2025The Quotient Bayesian Learning Rule
171. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
172. NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
173. NeurIPS 2025Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
174. NeurIPS 2025Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
175. NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
176. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
177. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
178. NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
179. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
180. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
181. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
182. NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
183. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
184. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
185. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
186. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
187. NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
188. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
189. NeurIPS 2024DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
190. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
191. NeurIPS 2024Effective Exploration Based on the Structural Information Principles
192. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
193. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
194. NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
195. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
196. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
197. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
198. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
199. NeurIPS 2024Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images
200. NeurIPS 2024Image2Struct: Benchmarking Structure Extraction for Vision-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.