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 199 篇，第 4 / 4 页
- NeurIPS 2025High Resolution UDF Meshing via Iterative Networks
- NeurIPS 2025HyperMixup: Hypergraph-Augmented with Higher-order Information Mixup
- NeurIPS 2025IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
- NeurIPS 2025Improving Target Sound Extraction via Disentangled Codec Representations with Privileged Knowledge Distillation
- NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
- NeurIPS 2025InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
- NeurIPS 2025Information Theoretic Learning for Diffusion Models with Warm Start
- NeurIPS 2025Information-Computation Tradeoffs for Noiseless Linear Regression with Oblivious Contamination
- NeurIPS 2025Information-Driven Design of Imaging Systems
- NeurIPS 2025Information-Theoretic Discrete Diffusion
- NeurIPS 2025Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
- NeurIPS 2025Information-Theoretic Reward Decomposition for Generalizable RLHF
- NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
- NeurIPS 2025Learning to Generalize: An Information Perspective on Neural Processes
- NeurIPS 2025Learning to price with resource constraints: from full information to machine-learned prices
- NeurIPS 2025Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
- NeurIPS 2025Long-Tailed Recognition via Information-Preservable Two-Stage Learning
- NeurIPS 2025Make Information Diffusion Explainable: LLM-based Causal Framework for Diffusion Prediction
- NeurIPS 2025Median Selection with Noisy and Structural Information
- NeurIPS 2025MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
- NeurIPS 2025Missing Data Imputation by Reducing Mutual Information with Rectified Flows
- NeurIPS 2025Multimodal Tabular Reasoning with Privileged Structured Information
- NeurIPS 2025Neural Entropy
- NeurIPS 2025Neural Mutual Information Estimation with Vector Copulas
- NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
- NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
- NeurIPS 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
- NeurIPS 2025Plasticity as the Mirror of Empowerment
- NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
- NeurIPS 2025Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
- NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
- NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
- NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
- NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
- NeurIPS 2025Sparse Optimistic Information Directed Sampling
- NeurIPS 2025Spiking Neural Networks Need High-Frequency Information
- NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
- NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
- NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
- NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
- NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
- NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
- NeurIPS 2025The Quotient Bayesian Learning Rule
- NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
- NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
- NeurIPS 2025Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
- NeurIPS 2025Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
- NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
- NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
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。