PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model
Adaptation

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

22 August 2022

Liang Ding

Bo Du

Papers citing "PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation"

18 / 18 papers shown

Title
Honey, I Shrunk the Language Model: Impact of Knowledge Distillation Methods on Performance and Explainability Daniel Hendriks Philipp Spitzer Niklas Kühl G. Satzger 27 1 0 22 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 52 0 0 09 Apr 2025
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting Chen Cai Zheng Wang J. Gao Wenyang Liu Ye Lu Runzhong Zhang Kim-Hui Yap CLL 52 0 0 20 Jan 2025
Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting Emmanuel Aboah Boateng Cassiano O. Becker Nabiha Asghar Kabir Walia Ashwin Srinivasan Ehi Nosakhare Victor Dibia Soundar Srinivasan LRM 31 0 0 18 Aug 2024
Revisiting Token Dropping Strategy in Efficient BERT Pretraining Qihuang Zhong Liang Ding Juhua Liu Xuebo Liu Min Zhang Bo Du Dacheng Tao VLM 34 9 0 24 May 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang Rameswar Panda Leonid Karlinsky Rogerio Feris Huan Sun Yoon Kim VLM VPVLM 27 107 0 06 Mar 2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT Qihuang Zhong Liang Ding Juhua Liu Bo Du Dacheng Tao AI4MH 61 238 0 19 Feb 2023
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning Xiangyu Peng Chen Xing Prafulla Kumar Choubey Chien-Sheng Wu Caiming Xiong VLM 83 11 0 23 Oct 2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation Qihuang Zhong Liang Ding Juhua Liu Bo Du Dacheng Tao 49 27 0 30 May 2022
Parameter-Efficient and Student-Friendly Knowledge Distillation Jun Rao Xv Meng Liang Ding Shuhan Qi Dacheng Tao 37 46 0 28 May 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts Akari Asai Mohammadreza Salehi Matthew E. Peters Hannaneh Hajishirzi 130 100 0 24 May 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis Bing Wang Liang Ding Qihuang Zhong Ximing Li Dacheng Tao 29 32 0 16 Apr 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Cer VLM LRM 137 277 0 15 Oct 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning Runxin Xu Fuli Luo Zhiyuan Zhang Chuanqi Tan Baobao Chang Songfang Huang Fei Huang LRM 148 178 0 13 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation Liang Ding Longyue Wang Xuebo Liu Derek F. Wong Dacheng Tao Zhaopeng Tu 107 77 0 29 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018