Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models | Paper Citation Record

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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This paper cites Distilling Neural Networks for Greener and Faster Dependency Parsing.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Distilling Neural Networks for Greener and Faster Dependency Parsing

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models YOLOv4: Optimal Speed and Accuracy of Object Detection

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This paper cites Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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This paper cites Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation

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This paper cites NormKD: Normalized Logits for Knowledge Distillation.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models NormKD: Normalized Logits for Knowledge Distillation

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This paper cites Knowledge Distillation as Semiparametric Inference.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Knowledge Distillation as Semiparametric Inference

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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This paper cites Education distillation:getting student models to learn in shcools.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Education distillation:getting student models to learn in shcools

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This paper cites A Survey on Recent Teacher-student Learning Studies.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A Survey on Recent Teacher-student Learning Studies

Reference 18

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models and Omar, M

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models J., and Tao, D

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This paper cites Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition

Reference 21

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This paper cites A Comprehensive Review of Knowledge Distillation in Computer Vision.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A Comprehensive Review of Knowledge Distillation in Computer Vision

Reference 22

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This paper cites Self-Knowledge Distillation in Natural Language Processing.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Self-Knowledge Distillation in Natural Language Processing

Reference 23

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This paper cites Distilling the Knowledge in a Neural Network.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Distilling the Knowledge in a Neural Network

Reference 24

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This paper cites A New Training Framework for Deep Neural Network.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A New Training Framework for Deep Neural Network

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This paper cites A Closer Look at Knowledge Distillation with Features, Logits, and Gradients.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A Closer Look at Knowledge Distillation with Features, Logits, and Gradients

Reference 26

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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This paper cites Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Leveraging Large Language Models for Enhanced NLP Task Performance through Knowledge Distillation and Optimized Training Strategies

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This paper cites An elementary description of $K_1(R)$ without elementary matrices.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models An elementary description of $K_1(R)$ without elementary matrices

Reference 29

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Knowledge Distillation Approaches for Accurate and Efficient Recommender System

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models D., Eskenasy, R., Hancock, F., Stroh, M

Reference 34

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models and Malik, K

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Data Efficient Stagewise Knowledge Distillation

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Knowledge distillation using unlabeled mismatched images

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models and Tian, Q

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Mixture cure semiparametric additive hazard models under partly interval censoring -- a penalized likelihood approach

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Towards a Unified View of Affinity-Based Knowledge Distillation

Reference 43

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Data Distillation for Text Classification

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?

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This paper cites Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models DINE: Domain Adaptation from Single and Multiple Black-box Predictors

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Weight Distillation: Transferring the Knowledge in Neural Network Parameters

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Knowledge Distillation for Efficient Sequences of Training Runs

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models ACORN: Adaptive Coordinate Networks for Neural Scene Representation

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models What is Lost in Knowledge Distillation?

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Distilling Linguistic Context for Language Model Compression

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 64

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Reference 66

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This paper cites I., Ahmed, S., Lutfe Elahi, M., and Mohammed, N.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models I., Ahmed, S., Lutfe Elahi, M., and Mohammed, N

Reference 67

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Towards Zero-Shot Knowledge Distillation for Natural Language Processing

Reference 68

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This paper cites The State of Knowledge Distillation for Classification.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models The State of Knowledge Distillation for Classification

Reference 69

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 70

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models InDistill: Information flow-preserving knowledge distillation for model compression

Reference 71

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Wing Optimisation for a tractor propeller driven Micro Aerial Vehicle

Reference 72

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Reference 73

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Task Integration Distillation for Object Detectors

Reference 74

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This paper cites Understanding and Improving Knowledge Distillation.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Understanding and Improving Knowledge Distillation

Reference 75

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Controlling the Quality of Distillation in Response-Based Network Compression

Reference 76

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 77

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models A Cohesive Distillation Architecture for Neural Language Models

Reference 78

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection

Reference 79

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Gradient Knowledge Distillation for Pre-trained Language Models

Reference 80

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Observation 48943a5c-d81a-4389-ba1c-449b8921a1b0 · outbound

This paper cites and Yoon, K.-J.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models and Yoon, K.-J

Reference 81

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives

Reference 82

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Improving Knowledge Distillation via Regularizing Feature Norm and Direction

Reference 83

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 84

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This paper cites Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation.

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation

Reference 85

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 86

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models f-Divergence Minimization for Sequence-Level Knowledge Distillation

Reference 87

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Reference 88

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Causal Distillation for Language Models

Reference 89

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation

Reference 90

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 91

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 92

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 93

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 94

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 95

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

Reference 96

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 97

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 98

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 99

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models Unresolved cited work

Reference 100

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Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models H., Liu, L., and Liu, Y

Reference 101

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