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

798 papers, page 7 of 16

301. ICLR 2025Calibrating LLMs with Information-Theoretic Evidential Deep Learning
302. ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
303. ICLR 2025Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
304. ICLR 2025Data Pruning by Information Maximization
305. ICLR 2025Decision Information Meets Large Language Models: The Future of Explainable Operations Research
306. ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
307. ICLR 2025Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
308. ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
309. ICLR 2025Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
310. ICLR 2025Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
311. ICLR 2025Flow-based Variational Mutual Information: Fast and Flexible Approximations
312. ICLR 2025Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
313. ICLR 2025Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
314. ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
315. ICLR 2025How many samples are needed to train a deep neural network?
316. ICLR 2025How Much is Unseen Depends Chiefly on Information About the Seen
317. ICLR 2025Inner Information Analysis Algorithm for Deep Neural Network based on Community
318. ICLR 2025Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
319. ICLR 2025Laplace Sample Information: Data Informativeness Through a Bayesian Lens
320. ICLR 2025Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
321. ICLR 2025Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
322. ICLR 2025MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
323. ICLR 2025Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
324. ICLR 2025Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
325. ICLR 2025On Bits and Bandits: Quantifying the Regret-Information Trade-off
326. ICLR 2025On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
327. ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
328. ICLR 2025Projection Head is Secretly an Information Bottleneck
329. ICLR 2025Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
330. ICLR 2025Scalable Extraction of Training Data from Aligned, Production Language Models
331. ICLR 2025Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
332. ICLR 2025Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
333. ICLR 2025Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
334. ICLR 2025The Value of Sensory Information to a Robot
335. ICLR 2025TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
336. ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
337. ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
338. ICLR 2025VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?
339. ICLR 2025What should a neuron aim for? Designing local objective functions based on information theory
340. ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
341. ICML 2025A Theoretical Justification for Asymmetric Actor-Critic Algorithms
342. ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
343. ICML 2025Adaptive Elicitation of Latent Information Using Natural Language
344. ICML 2025Aligning Multimodal Representations through an Information Bottleneck
345. ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
346. ICML 2025An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
347. ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
348. ICML 2025CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
349. ICML 2025Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
350. ICML 2025Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

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.