Knowledge Distillation
185 papers
Papers per year
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10
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'25
Papers
Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
ACL 2025
Quantifying Knowledge Distillation using Partial Information Decomposition
AISTATS 2025
SEK: Self-Explained Keywords Empower Large Language Models for Code Generation
ACL 2025
Structure-aware Domain Knowledge Injection for Large Language Models
ACL 2025
Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction
CVPR 2025
Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models
Interspeech 2025
Who Taught You That? Tracing Teachers in Model Distillation
ACL 2025
“Yes, My LoRD.” Guiding Language Model Extraction with Locality Reinforced Distillation
ACL 2025
Active Object Detection with Knowledge Aggregation and Distillation from Large Models
CVPR 2024
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples
ACL 2024
An Empirical Study of Multilingual Reasoning Distillation for Question Answering
EMNLP 2024
An LLM-Enhanced Adversarial Editing System for Lexical Simplification
COLING 2024
A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation
ACL 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches
ACL 2024
CodeM: Less Data Yields More Versatility via Ability Matrix
ACL 2024
Divide-or-Conquer? Which Part Should You Distill Your LLM?
EMNLP 2024
Ensemble Distillation for Unsupervised Constituency Parsing
ICLR 2024
FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity
ACML 2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
AAAI 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
EMNLP 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NeurIPS 2024
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance
EMNLP 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
EMNLP 2024