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 190 篇，第 4 / 4 页
- NeurIPS 2024Information-theoretic Generalization Analysis for Expected Calibration Error
- NeurIPS 2024Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization
- NeurIPS 2024Is Value Learning Really the Main Bottleneck in Offline RL?
- NeurIPS 2024Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization
- NeurIPS 2024Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models
- NeurIPS 2024Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
- NeurIPS 2024Mutual Information Estimation via $f$-Divergence and Data Derangements
- NeurIPS 2024Mutual Information Estimation via Normalizing Flows
- NeurIPS 2024Neglected Hessian component explains mysteries in sharpness regularization
- NeurIPS 2024Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
- NeurIPS 2024Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
- NeurIPS 2024No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
- NeurIPS 2024On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
- NeurIPS 2024Online Estimation via Offline Estimation: An Information-Theoretic Framework
- NeurIPS 2024PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
- NeurIPS 2024Practical Shuffle Coding
- NeurIPS 2024Protecting Your LLMs with Information Bottleneck
- NeurIPS 2024Provable Partially Observable Reinforcement Learning with Privileged Information
- NeurIPS 2024Qualitative Mechanism Independence
- NeurIPS 2024Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss
- NeurIPS 2024Regret Minimization in Stackelberg Games with Side Information
- NeurIPS 2024Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
- NeurIPS 2024Reinforcement Learning with Lookahead Information
- NeurIPS 2024Revisiting motion information for RGB-Event tracking with MOT philosophy
- NeurIPS 2024Robust Conformal Prediction Using Privileged Information
- NeurIPS 2024Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models
- NeurIPS 2024Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information
- NeurIPS 2024TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
- NeurIPS 2024Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor
- NeurIPS 2024Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
- NeurIPS 2024The Benefits of Balance: From Information Projections to Variance Reduction
- NeurIPS 2024The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
- NeurIPS 2024Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
- NeurIPS 2024Trade-Offs of Diagonal Fisher Information Matrix Estimators
- NeurIPS 2024Transformers need glasses! Information over-squashing in language tasks
- NeurIPS 2024Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
- NeurIPS 2024Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model
- NeurIPS 2024What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
- NeurIPS 2024What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
- NeurIPS 2024Zipfian Whitening
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。