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 7 / 16 页
- ICLR 2025Calibrating LLMs with Information-Theoretic Evidential Deep Learning
- ICLR 2025Causal Information Prioritization for Efficient Reinforcement Learning
- ICLR 2025Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
- ICLR 2025Data Pruning by Information Maximization
- ICLR 2025Decision Information Meets Large Language Models: The Future of Explainable Operations Research
- ICLR 2025Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
- ICLR 2025Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
- ICLR 2025Efficient Online Pruning and Abstraction for Imperfect Information Extensive-Form Games
- ICLR 2025Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
- ICLR 2025Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage
- ICLR 2025Flow-based Variational Mutual Information: Fast and Flexible Approximations
- ICLR 2025Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems
- ICLR 2025Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
- ICLR 2025Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information
- ICLR 2025How many samples are needed to train a deep neural network?
- ICLR 2025How Much is Unseen Depends Chiefly on Information About the Seen
- ICLR 2025Inner Information Analysis Algorithm for Deep Neural Network based on Community
- ICLR 2025Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
- ICLR 2025Laplace Sample Information: Data Informativeness Through a Bayesian Lens
- ICLR 2025Learning Robust Representations with Long-Term Information for Generalization in Visual Reinforcement Learning
- ICLR 2025Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD
- ICLR 2025MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
- ICLR 2025Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
- ICLR 2025Mitigating Information Loss in Tree-Based Reinforcement Learning via Direct Optimization
- ICLR 2025On Bits and Bandits: Quantifying the Regret-Information Trade-off
- ICLR 2025On the Convergence of No-Regret Dynamics in Information Retrieval Games with Proportional Ranking Functions
- ICLR 2025On the Relation between Trainability and Dequantization of Variational Quantum Learning Models
- ICLR 2025Projection Head is Secretly an Information Bottleneck
- ICLR 2025Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
- ICLR 2025Scalable Extraction of Training Data from Aligned, Production Language Models
- ICLR 2025Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods
- ICLR 2025Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
- ICLR 2025Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
- ICLR 2025The Value of Sensory Information to a Robot
- ICLR 2025TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation
- ICLR 2025Transformer Meets Twicing: Harnessing Unattended Residual Information
- ICLR 2025UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models
- ICLR 2025VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?
- ICLR 2025What should a neuron aim for? Designing local objective functions based on information theory
- ICML 2025A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
- ICML 2025A Theoretical Justification for Asymmetric Actor-Critic Algorithms
- ICML 2025A Variational Information Theoretic Approach to Out-of-Distribution Detection
- ICML 2025Adaptive Elicitation of Latent Information Using Natural Language
- ICML 2025Aligning Multimodal Representations through an Information Bottleneck
- ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
- ICML 2025An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
- ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
- ICML 2025CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
- ICML 2025Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation
- ICML 2025Cooperation of Experts: Fusing Heterogeneous Information with Large Margin
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。