Knowledge Injection papers, 2023–2026

Key findings

• Knowledge Injection fell from 34 papers in 2023 to 26 in 2026, so interest is cooling.
• CVPR publishes the most Knowledge Injection work: 38 papers from 2023 to 2026, 29% of the four-venue total.
• The fastest-growing overlap is with Knowledge Graphs: papers tagged with both rose from 30 in 2023 to 15 in 2026.
• Among the 5 topics under Neurosymbolic AI, it ranks #5 by 2026 paper count; the fastest grower in the group, Mathematical Reasoning, is up 10x versus 0.8x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Knowledge Injection papers

28 papers, page 1 of 1

1. ICML 2026From Teacher Pathways to Invariant Manifolds: Consensus Subspace Distillation for TSFMs
2. ICML 2026KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls
3. ICML 2026RedVisor: Reasoning-Aware Prompt Injection Defense via Zero-Copy KV Cache Reuse
4. ICML 2026SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
5. ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
6. ICML 2025AnyEdit: Edit Any Knowledge Encoded in Language Models
7. ICML 2025Distilling the Knowledge in Data Pruning
8. ICML 2025Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
9. ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
10. ICML 2025When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
11. ICML 2024Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
12. ICML 2024CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
13. ICML 2024Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
14. ICML 2024Do Topological Characteristics Help in Knowledge Distillation?
15. ICML 2024Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
16. ICML 2024Knowledge Distillation with Auxiliary Variable
17. ICML 2024Knowledge Graphs Can be Learned with Just Intersection Features
18. ICML 2024Layerwise Change of Knowledge in Neural Networks
19. ICML 2024Neighboring Perturbations of Knowledge Editing on Large Language Models
20. ICML 2024OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
21. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
22. ICML 2024WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
23. ICML 2023Integrating Prior Knowledge in Contrastive Learning with Kernel
24. ICML 2023Knowledge Hypergraph Embedding Meets Relational Algebra
25. ICML 2023Large Language Models Struggle to Learn Long-Tail Knowledge
26. ICML 2023Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
27. ICML 2023Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
28. ICML 2023Who Needs to Know? Minimal Knowledge for Optimal Coordination

FAQ

How many Knowledge Injection papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

131 in total: 34 in 2023, 39 in 2024, 32 in 2025, 26 in 2026.

How many Knowledge Injection papers are at NeurIPS 2026?

NeurIPS 2026 has 9 Knowledge Injection papers, versus 12 the year before.

How many Knowledge Injection papers are at ICLR 2026?

ICLR 2026 has 5 Knowledge Injection papers, versus 9 the year before.

How many Knowledge Injection papers are at ICML 2026?

ICML 2026 has 4 Knowledge Injection papers, versus 6 the year before.

How many Knowledge Injection papers are at CVPR 2026?

CVPR 2026 has 8 Knowledge Injection papers, versus 5 the year before.

Which conference publishes the most Knowledge Injection papers?

CVPR, with 38 papers from 2023 to 2026.