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Multi-Prompting Decoder Helps Better Language Understanding

10 June 2024

Papers citing "Multi-Prompting Decoder Helps Better Language Understanding"

37 / 37 papers shown

Title
AnglE-optimized Text Embeddings Xianming Li Jing Li RALM 62 100 0 22 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 396 12,044 0 18 Jul 2023
Exploring Lottery Prompts for Pre-trained Language Models Yulin Chen Ning Ding Xiaobin Wang Shengding Hu Haitao Zheng Zhiyuan Liu Pengjun Xie VLM LRM 50 7 0 31 May 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario Chengcheng Han Liqing Cui Renyu Zhu Jiadong Wang Nuo Chen Qiushi Sun Xiang Li Ming Gao 69 7 0 17 May 2023
$k$ NN-Adapter: Efficient Domain Adaptation for Black-Box Language Models Yangsibo Huang Daogao Liu Zexuan Zhong Weijia Shi Y. Lee RALM ALM 64 15 0 21 Feb 2023
PromptBoosting: Black-Box Text Classification with Ten Forward Passes Bairu Hou J. O'Connor Jacob Andreas Shiyu Chang Yang Zhang VLM 46 44 0 19 Dec 2022
Decoder Tuning: Efficient Language Understanding as Decoding Ganqu Cui Wentao Li Ning Ding Longtao Huang Zhiyuan Liu Maosong Sun 64 6 0 16 Dec 2022
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning Mingkai Deng Jianyu Wang Cheng-Ping Hsieh Yihan Wang Han Guo Tianmin Shu Meng Song Eric Xing Zhiting Hu 93 343 0 25 May 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 143 57 0 23 May 2022
Black-box Prompt Learning for Pre-trained Language Models Shizhe Diao Zhichao Huang Ruijia Xu Xuechun Li Yong Lin Xiao Zhou Tong Zhang VLM AAML 82 71 0 21 Jan 2022
Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun Yunfan Shao Hong Qian Xuanjing Huang Xipeng Qiu VLM 149 274 0 10 Jan 2022
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 135 952 0 08 Oct 2021
Template-free Prompt Tuning for Few-shot NER Ruotian Ma Xin Zhou Tao Gui Y. Tan Linyang Li Qi Zhang Xuanjing Huang VLM 204 181 0 28 Sep 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners Ningyu Zhang Luoqiu Li Xiang Chen Shumin Deng Zhen Bi Chuanqi Tan Fei Huang Huajun Chen VLM 123 179 0 30 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 228 3,989 0 28 Jul 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models Elad Ben-Zaken Shauli Ravfogel Yoav Goldberg 181 1,240 0 18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 490 10,496 0 17 Jun 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 409 1,194 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 584 4,084 0 18 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction Xiang Chen Ningyu Zhang Xin Xie Shumin Deng Yunzhi Yao Chuanqi Tan Fei Huang Luo Si Huajun Chen 131 415 0 15 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 63 547 0 14 Apr 2021
GPT Understands, Too Xiao Liu Yanan Zheng Zhengxiao Du Ming Ding Yujie Qian Zhilin Yang Jie Tang VLM 168 1,179 0 18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation Xiang Lisa Li Percy Liang 252 4,299 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 404 1,972 0 31 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 877 42,379 0 28 May 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,617 0 21 Jan 2020
How Can We Know What Language Models Know? Zhengbao Jiang Frank F. Xu Jun Araki Graham Neubig KELM 144 1,409 0 28 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 485 20,317 0 23 Oct 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 576 2,674 0 03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 677 24,541 0 26 Jul 2019
Parameter-Efficient Transfer Learning for NLP N. Houlsby A. Giurgiu Stanislaw Jastrzebski Bruna Morrone Quentin de Laroussilhe Andrea Gesmundo Mona Attariyan Sylvain Gelly 221 4,514 0 02 Feb 2019
A Simple Method for Commonsense Reasoning Trieu H. Trinh Quoc V. Le LRM ReLM 97 434 0 07 Jun 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 524 4,494 0 18 Apr 2017
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 270 6,130 0 04 Sep 2015
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 326 4,294 0 21 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 220 4,288 0 04 Jun 2013