HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot
Generalisation

HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation

20 December 2022

Akshita Bhagia

Hannaneh Hajishirzi

Matthew E. Peters

Papers citing "HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation"

9 / 9 papers shown

Title
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models Wangtao Sun Haotian Xu Huanxuan Liao Xuanqing Yu Zhongtao Jiang Shizhu He Jun Zhao Kang Liu 53 0 0 04 Feb 2025
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt Deng Cai Huayang Li Tingchen Fu Siheng Li Weiwen Xu ... Leyang Cui Yan Wang Lemao Liu Taro Watanabe Shuming Shi KELM 26 2 0 24 Jun 2024
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer A. Ustun Arianna Bisazza G. Bouma Gertjan van Noord Sebastian Ruder 44 32 0 24 May 2022
Multilingual Machine Translation with Hyper-Adapters Christos Baziotis Mikel Artetxe James Cross Shruti Bhosale 63 21 0 22 May 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts Stephen H. Bach Victor Sanh Zheng-Xin Yong Albert Webson Colin Raffel ... Khalid Almubarak Xiangru Tang Dragomir R. Radev Mike Tian-Jian Jiang Alexander M. Rush VLM 215 335 0 02 Feb 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 105 29 0 02 Jan 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020