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Knowledge Distillation
503 directly classified papers
Papers per year
2017: 3
2018: 7
2019: 12
2020: 26
2021: 54
2022: 72
2023: 81
2024: 118
2025: 129
2026: 1
Papers
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
EMNLP 2025
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
ACL 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
ACL 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning
ACL 2025
Efficient Diffusion as Low Light Enhancer
CVPR 2025
Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework
EMNLP 2025
Teaching an Old LLM Secure Coding: Localized Preference Optimization on Distilled Preferences
ACL 2025
A Self-Distillation Recipe for Neural Machine Translation
ACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications
ACL 2025
Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning
ACL 2025
Emergent Wisdom at BEA 2025 Shared Task: From Lexical Understanding to Reflective Reasoning for Pedagogical Ability Assessment
ACL 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models
COLING 2025
Henry at BEA 2025 Shared Task: Improving AI Tutor’s Guidance Evaluation Through Context-Aware Distillation
ACL 2025
Causal Inference with Large Language Model: A Survey
NAACL 2025
Efficient Speech Translation through Model Compression and Knowledge Distillation
ACL 2025
Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy
IJCAI 2025
Hybrid Annotation for Propaganda Detection: Integrating LLM Pre-Annotations with Human Intelligence
ACL 2025
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
ICCV 2025
Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding
EMNLP 2025
Augmenting Moment Retrieval: Zero-Dependency Two-Stage Learning
ICCV 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
In-context Learning Demonstration Generation with Text Distillation
IJCAI 2025
On Synthesizing Data for Context Attribution in Question Answering
ACL 2025
Safety Alignment via Constrained Knowledge Unlearning
ACL 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
CVPR 2025
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