信息抽取论文趋势 2023–2026

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。

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 80 篇，第 2 / 2 页

51. NeurIPS 2025MI-TRQR: Mutual Information-Based Temporal Redundancy Quantification and Reduction for Energy-Efficient Spiking Neural Networks
52. NeurIPS 2025Missing Data Imputation by Reducing Mutual Information with Rectified Flows
53. NeurIPS 2025Multimodal Tabular Reasoning with Privileged Structured Information
54. NeurIPS 2025Neural Entropy
55. NeurIPS 2025Neural Mutual Information Estimation with Vector Copulas
56. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
57. NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
58. NeurIPS 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
59. NeurIPS 2025Plasticity as the Mirror of Empowerment
60. NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
61. NeurIPS 2025Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
62. NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
63. NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
64. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
65. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
66. NeurIPS 2025Sparse Optimistic Information Directed Sampling
67. NeurIPS 2025Spiking Neural Networks Need High-Frequency Information
68. NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
69. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
70. NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
71. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
72. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
73. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
74. NeurIPS 2025The Quotient Bayesian Learning Rule
75. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
76. NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
77. NeurIPS 2025Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
78. NeurIPS 2025Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
79. NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
80. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency

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。