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PromptKD: Distilling Student-Friendly Knowledge for Generative Language
  Models via Prompt Tuning

PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning

20 February 2024
Gyeongman Kim
Doohyuk Jang
Eunho Yang
    VLM
ArXivPDFHTML

Papers citing "PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning"

13 / 13 papers shown
Title
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via D\mathbf{\texttt{D}}Dual-H\mathbf{\texttt{H}}Head O\mathbf{\texttt{O}}Optimization
Seongjae Kang
Dong Bok Lee
Hyungjoon Jang
Sung Ju Hwang
VLM
29
0
0
12 May 2025
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence
ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via ααα-βββ-Divergence
Guanghui Wang
Zhiyong Yang
Z. Wang
Shi Wang
Qianqian Xu
Q. Huang
26
0
0
07 May 2025
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
Jiabin Fan
Guoqing Luo
Michael Bowling
Lili Mou
OffRL
61
0
0
26 Apr 2025
Direct Preference Knowledge Distillation for Large Language Models
Direct Preference Knowledge Distillation for Large Language Models
Yixing Li
Yuxian Gu
Li Dong
Dequan Wang
Yu Cheng
Furu Wei
18
6
0
28 Jun 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
A Systematic Study of Knowledge Distillation for Natural Language
  Generation with Pseudo-Target Training
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon
Subhabrata Mukherjee
Roi Reichart
Amir Kantor
21
17
0
03 May 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Distilling Linguistic Context for Language Model Compression
Distilling Linguistic Context for Language Model Compression
Geondo Park
Gyeongman Kim
Eunho Yang
32
30
0
17 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Learning Student-Friendly Teacher Networks for Knowledge Distillation
D. Park
Moonsu Cha
C. Jeong
Daesin Kim
Bohyung Han
111
99
0
12 Feb 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
246
340
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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