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 5 of 6

201. NeurIPS 2024Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
202. NeurIPS 2024Induced Model Matching: Restricted Models Help Train Full-Featured Models
203. NeurIPS 2024Information Re-Organization Improves Reasoning in Large Language Models
204. NeurIPS 2024Information-theoretic Generalization Analysis for Expected Calibration Error
205. NeurIPS 2024Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
206. NeurIPS 2024Is Value Learning Really the Main Bottleneck in Offline RL?
207. NeurIPS 2024Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
208. NeurIPS 2024Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
209. NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
210. NeurIPS 2024Mutual Information Estimation via $f$-Divergence and Data Derangements
211. NeurIPS 2024Mutual Information Estimation via Normalizing Flows
212. NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
213. NeurIPS 2024Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
214. NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
215. NeurIPS 2024No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
216. NeurIPS 2024On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
217. NeurIPS 2024Online Estimation via Offline Estimation: An Information-Theoretic Framework
218. NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
219. NeurIPS 2024Practical Shuffle Coding
220. NeurIPS 2024Protecting Your LLMs with Information Bottleneck
221. NeurIPS 2024Provable Partially Observable Reinforcement Learning with Privileged Information
222. NeurIPS 2024Qualitative Mechanism Independence
223. NeurIPS 2024Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
224. NeurIPS 2024Regret Minimization in Stackelberg Games with Side Information
225. NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
226. NeurIPS 2024Reinforcement Learning with Lookahead Information
227. NeurIPS 2024Revisiting motion information for RGB-Event tracking with MOT philosophy
228. NeurIPS 2024Robust Conformal Prediction Using Privileged Information
229. NeurIPS 2024Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
230. NeurIPS 2024Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
231. NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
232. NeurIPS 2024Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
233. NeurIPS 2024Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
234. NeurIPS 2024The Benefits of Balance: From Information Projections to Variance Reduction
235. NeurIPS 2024The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
236. NeurIPS 2024Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
237. NeurIPS 2024Trade-Offs of Diagonal Fisher Information Matrix Estimators
238. NeurIPS 2024Transformers need glasses! Information over-squashing in language tasks
239. NeurIPS 2024Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
240. NeurIPS 2024Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
241. NeurIPS 2024What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
242. NeurIPS 2024What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
243. NeurIPS 2024Zipfian Whitening
244. NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
245. NeurIPS 2023A unified framework for information-theoretic generalization bounds
246. NeurIPS 2023An information-theoretic quantification of the content of communication between brain regions
247. NeurIPS 2023Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
248. NeurIPS 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
249. NeurIPS 2023Data Pruning via Moving-one-Sample-out
250. NeurIPS 2023Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

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.