知识注入论文趋势 2023–2026

主要结论

• 知识注入论文从 2023 年的 34 篇降到 2026 年的 26 篇，热度在回落。
• CVPR 是发知识注入论文最多的会议，2023–2026 年共 38 篇，占四个会议总量的 29%。
• 交叉方向里涨得最快的是知识图谱：同时属于两个主题的论文从 2023 年的 30 篇增至 2026 年的 15 篇。
• 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的数学推理是 10 倍，知识注入是 0.8 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 2026DiDE: Direct Injection with Color-Texture DEcoupling for 3D Stylization
• ICML 2026SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
• ICLR 2026NDAD: Negative-Direction Aware Decoding for Large Language Models via Controllable Hallucination Signal Injection
• CVPR 2026Distilling Balanced Knowledge from a Biased Teacher
• NeurIPS 2025From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
• ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
• ICLR 2025How new data permeates LLM knowledge and how to dilute it
• CVPR 2025DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification
• NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
• ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
• ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
• CVPR 2024Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
• NeurIPS 2023Improving the Knowledge Gradient Algorithm
• ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
• ICLR 2023Noise Injection Node Regularization for Robust Learning
• CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
• NeurIPS 2026Shared Truth: Emergent Truth Properties in Large Language Models via Heterogeneous Injection-based Transfer
• ICML 2026RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
• ICLR 2026Knowledge Distillation as Decontamination? Revisiting the “Data Laundering” Concern
• CVPR 2026Dynamic Magic Unleashing Restricted Knowledge for Lifelong Person Re-Identification

全部知识注入论文

共 131 篇，第 2 / 3 页

51. NeurIPS 2025KeeA*: Epistemic Exploratory A* Search via Knowledge Calibration
52. NeurIPS 2025KINDLE: Knowledge-Guided Distillation for Prior-Free Gene Regulatory Network Inference
53. NeurIPS 2025Knowledge Distillation of Uncertainty using Deep Latent Factor Model
54. NeurIPS 2025Neural Tangent Knowledge Distillation for Optical Convolutional Networks
55. NeurIPS 2025PLD: A Choice-Theoretic List-Wise Knowledge Distillation
56. NeurIPS 2025Rethinking Residual Distribution in Locate-then-Edit Model Editing
57. NeurIPS 2025Root Cause Analysis of Outliers with Missing Structural Knowledge
58. NeurIPS 2025Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular Diversity
59. CVPR 2024Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
60. CVPR 2024Building Optimal Neural Architectures using Interpretable Knowledge
61. CVPR 2024De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
62. CVPR 2024FreeKD: Knowledge Distillation via Semantic Frequency Prompt
63. CVPR 2024Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification
64. CVPR 2024Learning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
65. CVPR 2024Logit Standardization in Knowledge Distillation
66. CVPR 2024Overcoming Generic Knowledge Loss with Selective Parameter Update
67. CVPR 2024Small Scale Data-Free Knowledge Distillation
68. CVPR 2024Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions
69. CVPR 2024VkD: Improving Knowledge Distillation using Orthogonal Projections
70. ICLR 2024A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
71. ICLR 2024DistillSpec: Improving Speculative Decoding via Knowledge Distillation
72. ICLR 2024GeoLLM: Extracting Geospatial Knowledge from Large Language Models
73. ICLR 2024MiniLLM: Knowledge Distillation of Large Language Models
74. ICLR 2024Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
75. ICLR 2024Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
76. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
77. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
78. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
79. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
80. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
81. ICML 2024Knowledge Distillation with Auxiliary Variable
82. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
83. ICML 2024Layerwise Change of Knowledge in Neural Networks
84. ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
85. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
86. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
87. ICML 2024WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
88. NeurIPS 2024ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
89. NeurIPS 2024Cost-efficient Knowledge-based Question Answering with Large Language Models
90. NeurIPS 2024Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
91. NeurIPS 2024FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
92. NeurIPS 2024How Do Large Language Models Acquire Factual Knowledge During Pretraining?
93. NeurIPS 2024Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions
94. NeurIPS 2024Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
95. NeurIPS 2024MeMo: Meaningful, Modular Controllers via Noise Injection
96. NeurIPS 2024Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
97. NeurIPS 2024Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models
98. CVPR 2023A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
99. CVPR 2023A-Cap: Anticipation Captioning With Commonsense Knowledge
100. CVPR 2023AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

常见问题

2023–2026 年四大会议一共有多少篇知识注入论文？

共 131 篇，按年份分别是 2023 年 34 篇、2024 年 39 篇、2025 年 32 篇、2026 年 26 篇。

NeurIPS 2026 有多少篇知识注入论文？

NeurIPS 2026 有 9 篇知识注入论文，上一届是 12 篇。

ICLR 2026 有多少篇知识注入论文？

ICLR 2026 有 5 篇知识注入论文，上一届是 9 篇。

ICML 2026 有多少篇知识注入论文？

ICML 2026 有 4 篇知识注入论文，上一届是 6 篇。

CVPR 2026 有多少篇知识注入论文？

CVPR 2026 有 8 篇知识注入论文，上一届是 5 篇。

哪个会议的知识注入论文最多？

CVPR，2023–2026 年共 38 篇。