Hyperdecoders: Instance-specific decoders for multi-task NLP

15 March 2022

Papers citing "Hyperdecoders: Instance-specific decoders for multi-task NLP"

20 / 20 papers shown

Title
InterACT: Inter-dependency Aware Action Chunking with Hierarchical Attention Transformers for Bimanual Manipulation Andrew Lee Ian Chuang Ling-Yuan Chen Iman Soltani 47 6 0 12 Sep 2024
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling Jesús-Germán Ortiz-Barajas Helena Gómez-Adorno Thamar Solorio 37 1 0 01 Jul 2024
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion Pengxiang Lan Enneng Yang Yuting Liu Guibing Guo Linying Jiang Jianzhe Zhao Xingwei Wang VLM AAML 38 1 0 19 May 2024
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts Hao Zhao Zihan Qiu Huijia Wu Zili Wang Zhaofeng He Jie Fu MoE 32 10 0 20 Feb 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction Yonggang Jin Ge Zhang Hao Zhao Tianyu Zheng Jiawei Guo Liuyu Xiang Shawn Yue Stephen W. Huang Zhaofeng He Jie Fu OffRL 34 4 0 06 Feb 2024
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 26 10 0 25 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning Hao Zhao Jie Fu Zhaofeng He 105 6 0 18 Oct 2023
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning Zhengxiang Shi Aldo Lipani VLM 31 30 0 11 Sep 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning Zhen Wang Yikang Shen Leonid Karlinsky Rogerio Feris Huan Sun Yoon Kim VLM VPVLM 44 107 0 06 Mar 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation Hamish Ivison Akshita Bhagia Yizhong Wang Hannaneh Hajishirzi Matthew E. Peters 48 16 0 20 Dec 2022
Boosting Natural Language Generation from Instructions with Meta-Learning Budhaditya Deb Guoqing Zheng Ahmed Hassan Awadallah 24 13 0 20 Oct 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
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 215 1,661 0 15 Oct 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 808 0 14 Oct 2021
Single-dataset Experts for Multi-dataset Question Answering Dan Friedman Ben Dodge Danqi Chen MoMe 132 26 0 28 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann Tosin P. Adewumi Karmanya Aggarwal Pawan Sasanka Ammanamanchi Aremu Anuoluwapo ... Nishant Subramani Wei-ping Xu Diyi Yang Akhila Yerukola Jiawei Zhou VLM 260 285 0 02 Feb 2021
Learning to Generate Task-Specific Adapters from Task Description Qinyuan Ye Xiang Ren 115 29 0 02 Jan 2021
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 299 6,984 0 20 Apr 2018
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 211 3,513 0 10 Jun 2015