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Knowledge Distillation

3,086 papers

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Papers

Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024
Deep Classifier Mimicry without Data Access AISTATS 2024
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation CLEAR 2024
Align-to-Distill: Trainable Attention Alignment for Knowledge Distillation in Neural Machine Translation COLING 2024
An LLM-Enhanced Adversarial Editing System for Lexical Simplification COLING 2024
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning COLING 2024
Class-Incremental Few-Shot Event Detection COLING 2024
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions COLING 2024
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer COLING 2024
Distillation with Explanations from Large Language Models COLING 2024
Effective Distillation of Table-based Reasoning Ability from LLMs COLING 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning COLING 2024
HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks COLING 2024
IDC: Boost Text-to-image Retrieval via Indirect and Direct Connections COLING 2024
Improving Continual Few-shot Relation Extraction through Relational Knowledge Distillation and Prototype Augmentation COLING 2024
Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization COLING 2024
Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering COLING 2024
LexDrafter: Terminology Drafting for Legislative Documents Using Retrieval Augmented Generation COLING 2024
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward COLING 2024
Mixture-of-LoRAs: An Efficient Multitask Tuning Method for Large Language Models COLING 2024
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts COLING 2024
Prophecy Distillation for Boosting Abstractive Summarization COLING 2024
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion COLING 2024