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 12 / 16 页
- ICML 2024Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
- ICML 2024Localizing Task Information for Improved Model Merging and Compression
- ICML 2024MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
- ICML 2024Matrix Information Theory for Self-Supervised Learning
- ICML 2024Mitigating Label Noise on Graphs via Topological Sample Selection
- ICML 2024No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
- ICML 2024Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
- ICML 2024Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
- ICML 2024Performance Bounds for Active Binary Testing with Information Maximization
- ICML 2024Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
- ICML 2024Pi-DUAL: Using privileged information to distinguish clean from noisy labels
- ICML 2024Prospective Side Information for Latent MDPs
- ICML 2024Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
- ICML 2024Repeat After Me: Transformers are Better than State Space Models at Copying
- ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
- ICML 2024RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
- ICML 2024RMIB: Representation Matching Information Bottleneck for Matching Text Representations
- ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
- ICML 2024Safe and Robust Subgame Exploitation in Imperfect Information Games
- ICML 2024Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
- ICML 2024Slicing Mutual Information Generalization Bounds for Neural Networks
- ICML 2024Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
- ICML 2024Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach
- ICML 2024State-Constrained Zero-Sum Differential Games with One-Sided Information
- ICML 2024Stealing part of a production language model
- ICML 2024Stochastic Interpolants with Data-Dependent Couplings
- ICML 2024Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
- ICML 2024The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
- ICML 2024The Fundamental Limits of Least-Privilege Learning
- ICML 2024TimeX++: Learning Time-Series Explanations with Information Bottleneck
- ICML 2024Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
- ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
- ICML 2024Understanding Finetuning for Factual Knowledge Extraction
- ICML 2024Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
- ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
- ICML 2024USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
- ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
- ICML 2024Weisfeiler-Leman at the margin: When more expressivity matters
- NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
- NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
- NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
- NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
- NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
- NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
- NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
- NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
- NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
- NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
- NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
- NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
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。