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 12 of 16

551. ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
552. ICML 2024Localizing Task Information for Improved Model Merging and Compression
553. ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
554. ICML 2024Matrix Information Theory for Self-Supervised Learning
555. ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
556. ICML 2024No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
557. ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
558. ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
559. ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
560. ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
561. ICML 2024Pi-DUAL: Using privileged information to distinguish clean from noisy labels
562. ICML 2024Prospective Side Information for Latent MDPs
563. ICML 2024Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
564. ICML 2024Repeat After Me: Transformers are Better than State Space Models at Copying
565. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
566. ICML 2024RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
567. ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
568. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
569. ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
570. ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
571. ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
572. ICML 2024Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
573. ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
574. ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
575. ICML 2024Stealing part of a production language model
576. ICML 2024Stochastic Interpolants with Data-Dependent Couplings
577. ICML 2024Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
578. ICML 2024The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
579. ICML 2024The Fundamental Limits of Least-Privilege Learning
580. ICML 2024TimeX++: Learning Time-Series Explanations with Information Bottleneck
581. ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
582. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
583. ICML 2024Understanding Finetuning for Factual Knowledge Extraction
584. ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
585. ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
586. ICML 2024USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
587. ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
588. ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
589. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
590. NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
591. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
592. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
593. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
594. NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
595. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
596. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
597. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
598. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
599. NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
600. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

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.