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 5 of 16

201. NeurIPS 2026FMMI: Flow Matching Mutual Information Estimation
202. NeurIPS 2026From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs
203. NeurIPS 2026GISA: A Benchmark for General Information-Seeking Assistant
204. NeurIPS 2026Harnessing Data Asymmetry in Manifold Learning
205. NeurIPS 2026How Much Information is Needed for Accurate Kalman Filtering?
206. NeurIPS 2026Identified-Set Geometry of Distributional Model Extraction under Top-K Censored API Access
207. NeurIPS 2026Information bottleneck dynamics during learning across artificial and biological neural systems
208. NeurIPS 2026Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis
209. NeurIPS 2026Information Discernment in Large Language Models
210. NeurIPS 2026Information Loss and Disparate Effects in Network Embeddings
211. NeurIPS 2026Information Parity for Code: The Scope of Transfer in Multilingual Code Models
212. NeurIPS 2026Information Templates: A New Paradigm for Intelligent Active Feature Acquisition
213. NeurIPS 2026Information-Geometric Forward Policy Training in GFlowNets
214. NeurIPS 2026InfoSFT: Learn More and Forget Less with Information-Aware Token Weighting
215. NeurIPS 2026Intrinsic Information Theoretic Analysis of ReLU Nets
216. NeurIPS 2026Large Language Model Selection with Limited Annotations
217. NeurIPS 2026Learning Actionable Information Landscapes for Multimodal Active Sensing in Hawkmoths
218. NeurIPS 2026Learning to Persuade a Biased Receiver
219. NeurIPS 2026Learning to Read Out: Unembedding Dynamics in Language Model Pretraining
220. NeurIPS 2026Learning to target with network interference
221. NeurIPS 2026Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
222. NeurIPS 2026MatCurvs: Article Real-Coordinate Curve Extraction for Agent-Ready Materials Reasoning
223. NeurIPS 2026Matrix-Free Natural Gradient via Stochastic Truncated Metrics
224. NeurIPS 2026Mind the Gap: Information Disadvantage as a Learning Signal in Cooperative MARL
225. NeurIPS 2026MIRA: Mutual Information guided calibration for Reliable Test-Time Adaptation
226. NeurIPS 2026No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics
227. NeurIPS 2026On Making $SE(2)$-Invariant Networks Optimal
228. NeurIPS 2026On Minimizing Regret in Fixed-Confidence $\varepsilon$-Best Arm Identification
229. NeurIPS 2026On Reparameterizing the Score Function
230. NeurIPS 2026On the Impact of Side-Information in Bandit Learning: More is Not Always Merrier
231. NeurIPS 2026On the Information Loss of Multi-Token Prediction: Origin and Solution
232. NeurIPS 2026Opening the Black Box of Classifier-Free Guidance via Information Bottleneck
233. NeurIPS 2026PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
234. NeurIPS 2026PANDA: Prior-guided Attentional Dual-path Architecture
235. NeurIPS 2026PatchScout: Thematic Web Data Collection via Information Foraging
236. NeurIPS 2026Pathways of Visual Information Flow in Vision-Language Models
237. NeurIPS 2026PepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel Decomposition
238. NeurIPS 2026PLACE: Patch-Level Agnostic Concept Extraction
239. NeurIPS 2026PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization
240. NeurIPS 2026Reading Positional Coupling in Transformers with Diffusion Scores
241. NeurIPS 2026Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck
242. NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
243. NeurIPS 2026Reinforcement Learning with Multi-Step Lookahead Information Via Adaptive Batching
244. NeurIPS 2026Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
245. NeurIPS 2026Robust Multi-view Clustering against Imperfect Information
246. NeurIPS 2026SAME: Stability-Aware Embedding Extraction in Mixture-of-Experts Language Models
247. NeurIPS 2026SBNO : Schrödinger Bridge Neural Operator for the Forward and Inverse Problems under Missing Information
248. NeurIPS 2026Securing AI Agents with Information-Flow Control
249. NeurIPS 2026Self-Distilled RLVR
250. NeurIPS 2026Selling Information While Being an Interested Party

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.