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 15 / 16 页
- ICLR 2023Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning
- ICLR 2023Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
- ICLR 2023Task-Aware Information Routing from Common Representation Space in Lifelong Learning
- ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
- ICLR 2023Trading Information between Latents in Hierarchical Variational Autoencoders
- ICLR 2023TypeT5: Seq2seq Type Inference using Static Analysis
- ICLR 2023Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
- ICLR 2023Variational Information Pursuit for Interpretable Predictions
- ICML 2023A Picture of the Space of Typical Learnable Tasks
- ICML 2023Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
- ICML 2023Adapting to game trees in zero-sum imperfect information games
- ICML 2023An Information-Theoretic Analysis of Nonstationary Bandit Learning
- ICML 2023Buying Information for Stochastic Optimization
- ICML 2023CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design
- ICML 2023Communication-Constrained Bandits under Additive Gaussian Noise
- ICML 2023Continual Vision-Language Representation Learning with Off-Diagonal Information
- ICML 2023Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
- ICML 2023Discrete Key-Value Bottleneck
- ICML 2023Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
- ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
- ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
- ICML 2023Fair Neighbor Embedding
- ICML 2023FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
- ICML 2023Fisher Information Embedding for Node and Graph Learning
- ICML 2023Forget Unlearning: Towards True Data-Deletion in Machine Learning
- ICML 2023Fundamental Tradeoffs in Learning with Prior Information
- ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
- ICML 2023How Does Information Bottleneck Help Deep Learning?
- ICML 2023Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information
- ICML 2023InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
- ICML 2023InfoOT: Information Maximizing Optimal Transport
- ICML 2023Inverse Reinforcement Learning without Reinforcement Learning
- ICML 2023Learning Perturbations to Explain Time Series Predictions
- ICML 2023Learning to Bid in Repeated First-Price Auctions with Budgets
- ICML 2023Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
- ICML 2023Learning to Maximize Mutual Information for Dynamic Feature Selection
- ICML 2023Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
- ICML 2023Margin-based Neural Network Watermarking
- ICML 2023Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
- ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
- ICML 2023Online Mechanism Design for Information Acquisition
- ICML 2023Opponent-Limited Online Search for Imperfect Information Games
- ICML 2023Paging with Succinct Predictions
- ICML 2023PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
- ICML 2023Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
- ICML 2023Predicting Rare Events by Shrinking Towards Proportional Odds
- ICML 2023Principled Offline RL in the Presence of Rich Exogenous Information
- ICML 2023Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
- ICML 2023Speeding Up Bellman Ford via Minimum Violation Permutations
- ICML 2023STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
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。