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

199 papers, page 4 of 4

151. NeurIPS 2025High Resolution UDF Meshing via Iterative Networks
152. NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
153. NeurIPS 2025IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
154. NeurIPS 2025Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
155. NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
156. NeurIPS 2025InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
157. NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
158. NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
159. NeurIPS 2025Information-Driven Design of Imaging Systems
160. NeurIPS 2025Information-Theoretic Discrete Diffusion
161. NeurIPS 2025Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
162. NeurIPS 2025Information-Theoretic Reward Decomposition for Generalizable RLHF
163. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
164. NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
165. NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
166. NeurIPS 2025Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
167. NeurIPS 2025Long-Tailed Recognition via Information-Preservable Two-Stage Learning
168. NeurIPS 2025Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
169. NeurIPS 2025Median Selection with Noisy and Structural Information
170. NeurIPS 2025MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
171. NeurIPS 2025Missing Data Imputation by Reducing Mutual Information with Rectified Flows
172. NeurIPS 2025Multimodal Tabular Reasoning with Privileged Structured Information
173. NeurIPS 2025Neural Entropy
174. NeurIPS 2025Neural Mutual Information Estimation with Vector Copulas
175. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
176. NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
177. NeurIPS 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
178. NeurIPS 2025Plasticity as the Mirror of Empowerment
179. NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
180. NeurIPS 2025Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
181. NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
182. NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
183. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
184. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
185. NeurIPS 2025Sparse Optimistic Information Directed Sampling
186. NeurIPS 2025Spiking Neural Networks Need High-Frequency Information
187. NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
188. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
189. NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
190. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
191. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
192. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
193. NeurIPS 2025The Quotient Bayesian Learning Rule
194. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
195. NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
196. NeurIPS 2025Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
197. NeurIPS 2025Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
198. NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
199. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency

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.