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

每年论文数

各会议论文数

按年份和会议统计

信息抽取论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202344264627143
202467366522190
202580504623199
202696637433266

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

全部信息抽取论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 287 篇，第 4 / 6 页

  1. NeurIPS 2025Neural Mutual Information Estimation with Vector Copulas
  2. NeurIPS 2025Nonlinear Laplacians: Tunable principal component analysis under directional prior information
  3. NeurIPS 2025OPMapper: Enhancing Open-Vocabulary Semantic Segmentation with Multi-Guidance Information
  4. NeurIPS 2025Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
  5. NeurIPS 2025Plasticity as the Mirror of Empowerment
  6. NeurIPS 2025Preserving Task-Relevant Information Under Linear Concept Removal
  7. NeurIPS 2025Prompt-Guided Alignment with Information Bottleneck Makes Image Compression Also a Restorer
  8. NeurIPS 2025PSMBench: A Benchmark and Dataset for Evaluating LLMs Extraction of Protocol State Machines from RFC Specifications
  9. NeurIPS 2025Reconstruction and Secrecy under Approximate Distance Queries
  10. NeurIPS 2025Rethinking Scale-Aware Temporal Encoding for Event-based Object Detection
  11. NeurIPS 2025SONAR: Long-Range Graph Propagation Through Information Waves
  12. NeurIPS 2025Sparse Optimistic Information Directed Sampling
  13. NeurIPS 2025Spiking Neural Networks Need High-Frequency Information
  14. NeurIPS 2025State Space Prompting via Gathering and Spreading Spatio-Temporal Information for Video Understanding
  15. NeurIPS 2025Steering Information Utility in Key-Value Memory for Language Model Post-Training
  16. NeurIPS 2025Structural Information-based Hierarchical Diffusion for Offline Reinforcement Learning
  17. NeurIPS 2025Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments
  18. NeurIPS 2025The Adaptive Complexity of Minimizing Relative Fisher Information
  19. NeurIPS 2025The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements
  20. NeurIPS 2025The Quotient Bayesian Learning Rule
  21. NeurIPS 2025The Structure of Relation Decoding Linear Operators in Large Language Models
  22. NeurIPS 2025Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens
  23. NeurIPS 2025Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
  24. NeurIPS 2025Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration
  25. NeurIPS 2025Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
  26. NeurIPS 2025WebDancer: Towards Autonomous Information Seeking Agency
  27. NeurIPS 2024A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets
  28. NeurIPS 2024Accelerating Relative Entropy Coding with Space Partitioning
  29. NeurIPS 2024Adaptive Passive-Aggressive Framework for Online Regression with Side Information
  30. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
  31. NeurIPS 2024Approximating mutual information of high-dimensional variables using learned representations
  32. NeurIPS 2024Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
  33. NeurIPS 2024Beyond Slow Signs in High-fidelity Model Extraction
  34. NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
  35. NeurIPS 2024Bridging semantics and pragmatics in information-theoretic emergent communication
  36. NeurIPS 2024CIFD: Controlled Information Flow to Enhance Knowledge Distillation
  37. NeurIPS 2024Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation
  38. NeurIPS 2024Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  39. NeurIPS 2024DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging
  40. NeurIPS 2024Diffusion PID: Interpreting Diffusion via Partial Information Decomposition
  41. NeurIPS 2024Effective Exploration Based on the Structural Information Principles
  42. NeurIPS 2024Extracting Training Data from Molecular Pre-trained Models
  43. NeurIPS 2024FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
  44. NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
  45. NeurIPS 2024From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement
  46. NeurIPS 2024Generalization Bounds via Conditional $f$-Information
  47. NeurIPS 2024GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
  48. NeurIPS 2024How Does Variance Shape the Regret in Contextual Bandits?
  49. NeurIPS 2024Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images
  50. NeurIPS 2024Image2Struct: Benchmarking Structure Extraction for Vision-Language Models

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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