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 6 / 16 页
- NeurIPS 2026SPATIALEPIBENCH: Benchmarking Spatial Information and Epidemic Priors in Forecasting
- NeurIPS 2026Spectral Estimation with Deformed Decompression
- NeurIPS 2026Spectral Geometry of Attention: From Information Routing to Uncertainty
- NeurIPS 2026Stabilizing RL+Search for Imperfect-Information Extensive-Form Games
- NeurIPS 2026Submodular Benchmark Selection
- NeurIPS 2026The Bayesian Learning Rule Beyond KL Geometry
- NeurIPS 2026The Communication Bottleneck: A Round-Trip Study of Compositional Serialization in Language Models
- NeurIPS 2026The limbic navigation system as a hierarchical RNN
- NeurIPS 2026The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
- NeurIPS 2026The Type Theory of Stationary MDPs: Rare Events and Uncertainty Quantification
- NeurIPS 2026Theoretical Limits of Language Model Alignment
- NeurIPS 2026TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information
- NeurIPS 2026Training Language Models to Explain Their Own Computations
- NeurIPS 2026Transfer Entropy as a Measure of Information Flow in VLMs and LLMs
- NeurIPS 2026Watermarking Game-Playing Agents in Perfect-Information Extensive-Form Games
- NeurIPS 2026Why Cancer cfDNA Models Fail on Chronic Disease: A Geometric Information-Theoretic Bound and Its Architectural Implications
- CVPR 2025A Focused Human Body Model for Accurate Anthropometric Measurements Extraction
- CVPR 2025Adaptive Unimodal Regulation for Balanced Multimodal Information Acquisition
- CVPR 2025Category-Agnostic Neural Object Rigging
- CVPR 2025CleanDIFT: Diffusion Features without Noise
- CVPR 2025Cross-modal Information Flow in Multimodal Large Language Models
- CVPR 2025Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks
- CVPR 2025Exploring Contextual Attribute Density in Referring Expression Counting
- CVPR 2025Exploring Historical Information for RGBE Visual Tracking with Mamba
- CVPR 2025Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection
- CVPR 2025FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
- CVPR 2025ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models
- CVPR 2025Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference
- CVPR 2025LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
- CVPR 2025Memories of Forgotten Concepts
- CVPR 2025Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
- CVPR 2025PerLA: Perceptive 3D Language Assistant
- CVPR 2025Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
- CVPR 2025Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
- CVPR 2025Relation-Rich Visual Document Generator for Visual Information Extraction
- CVPR 2025STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds
- CVPR 2025Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
- CVPR 2025Towards Source-Free Machine Unlearning
- CVPR 2025Unified Reconstruction of Static and Dynamic Scenes from Events
- ICLR 2025A Benchmark for Semantic Sensitive Information in LLMs Outputs
- ICLR 2025ACES: Automatic Cohort Extraction System for Event-Stream Datasets
- ICLR 2025Active Learning for Continual Learning: Keeping the Past Alive in the Present
- ICLR 2025ADAM: An Embodied Causal Agent in Open-World Environments
- ICLR 2025AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks
- ICLR 2025AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements
- ICLR 2025An Information Criterion for Controlled Disentanglement of Multimodal Data
- ICLR 2025Benchmarking LLMs' Judgments with No Gold Standard
- ICLR 2025Bilinear MLPs enable weight-based mechanistic interpretability
- ICLR 2025Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
- ICLR 2025Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding
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。