信息抽取论文趋势 2023–2026
NER、关系与事件抽取
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 798 篇被归入该主题的论文。
主要结论
- 信息抽取论文从 2023 年的 143 篇增长到 2026 年的 266 篇，三年间扩大到约 1.9 倍。
- NeurIPS 是发信息抽取论文最多的会议，2023–2026 年共 287 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 28 篇。
- 在「自然语言」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的检索增强生成是 5.4 倍，信息抽取是 1.9 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 44 | 26 | 46 | 27 | 143 |
| 2024 | 67 | 36 | 65 | 22 | 190 |
| 2025 | 80 | 50 | 46 | 23 | 199 |
| 2026 | 96 | 63 | 74 | 33 | 266 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- 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
全部信息抽取论文
共 798 篇，第 16 / 16 页
- ICML 2023Tighter Information-Theoretic Generalization Bounds from Supersamples
- ICML 2023Uncertainty Estimation by Fisher Information-based Evidential Deep Learning
- ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
- ICML 2023When does Privileged information Explain Away Label Noise?
- NeurIPS 2023A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
- NeurIPS 2023A unified framework for information-theoretic generalization bounds
- NeurIPS 2023An information-theoretic quantification of the content of communication between brain regions
- NeurIPS 2023Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
- NeurIPS 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
- NeurIPS 2023Data Pruning via Moving-one-Sample-out
- NeurIPS 2023Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
- NeurIPS 2023Easy Learning from Label Proportions
- NeurIPS 2023Estimating the Rate-Distortion Function by Wasserstein Gradient Descent
- NeurIPS 2023Explaining Predictive Uncertainty with Information Theoretic Shapley Values
- NeurIPS 2023FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
- NeurIPS 2023Faster Relative Entropy Coding with Greedy Rejection Coding
- NeurIPS 2023Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts
- NeurIPS 2023Gacs-Korner Common Information Variational Autoencoder
- NeurIPS 2023Generalized Information-theoretic Multi-view Clustering
- NeurIPS 2023Group Robust Classification Without Any Group Information
- NeurIPS 2023Ignorance is Bliss: Robust Control via Information Gating
- NeurIPS 2023Improving Adversarial Robustness via Information Bottleneck Distillation
- NeurIPS 2023InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
- NeurIPS 2023Information Geometry of the Retinal Representation Manifold
- NeurIPS 2023Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
- NeurIPS 2023Information-guided Planning: An Online Approach for Partially Observable Problems
- NeurIPS 2023Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
- NeurIPS 2023Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts
- NeurIPS 2023K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
- NeurIPS 2023Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
- NeurIPS 2023Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
- NeurIPS 2023Max-Sliced Mutual Information
- NeurIPS 2023MIM4DD: Mutual Information Maximization for Dataset Distillation
- NeurIPS 2023OceanBench: The Sea Surface Height Edition
- NeurIPS 2023On quantum backpropagation, information reuse, and cheating measurement collapse
- NeurIPS 2023On Slicing Optimality for Mutual Information
- NeurIPS 2023Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting
- NeurIPS 2023PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
- NeurIPS 2023Reinforcement Learning with Simple Sequence Priors
- NeurIPS 2023Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
- NeurIPS 2023The Bayesian Stability Zoo
- NeurIPS 2023Time-Independent Information-Theoretic Generalization Bounds for SGLD
- NeurIPS 2023Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
- NeurIPS 2023Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
- NeurIPS 2023Unsupervised Behavior Extraction via Random Intent Priors
- NeurIPS 2023When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
- NeurIPS 2023WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
- NeurIPS 2023XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查信息抽取在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "information-extraction"}
常见问题
- 2023–2026 年四大会议一共有多少篇信息抽取论文？
- 共 798 篇，按年份分别是 2023 年 143 篇、2024 年 190 篇、2025 年 199 篇、2026 年 266 篇。
- NeurIPS 2026 有多少篇信息抽取论文？
- NeurIPS 2026 有 96 篇信息抽取论文，上一届是 80 篇。
- ICLR 2026 有多少篇信息抽取论文？
- ICLR 2026 有 63 篇信息抽取论文，上一届是 50 篇。
- ICML 2026 有多少篇信息抽取论文？
- ICML 2026 有 74 篇信息抽取论文，上一届是 46 篇。
- CVPR 2026 有多少篇信息抽取论文？
- CVPR 2026 有 33 篇信息抽取论文，上一届是 23 篇。
- 哪个会议的信息抽取论文最多？
- NeurIPS，2023–2026 年共 287 篇。