Title
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Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies Liwen Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 151 7 0 24 Oct 2024
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Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations Wenjie Mo Lyne Tchapmi Qin Liu Jiong Wang Jun Yan Chaowei Xiao Muhao Chen Muhao Chen AAML 112 20 0 16 Nov 2023
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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 348 1,706 0 15 Oct 2021
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Finetuned Language Models Are Zero-Shot Learners Jason W. Wei Maarten Bosma Vincent Zhao Kelvin Guu Adams Wei Yu Brian Lester Nan Du Andrew M. Dai Quoc V. Le ALM UQCV 217 3,778 0 03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 109 372 0 02 Sep 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 218 3,987 0 28 Jul 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 135 439 0 24 May 2021
Cross-Task Generalization via Natural Language Crowdsourcing Instructions Swaroop Mishra Daniel Khashabi Chitta Baral Hannaneh Hajishirzi LRM 162 752 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 579 4,077 0 18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 63 547 0 14 Apr 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 208 408 0 07 Apr 2021
How Many Data Points is a Prompt Worth? Teven Le Scao Alexander M. Rush VLM 157 302 0 15 Mar 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 402 1,971 0 31 Dec 2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts Taylor Shin Yasaman Razeghi Robert L Logan IV Eric Wallace Sameer Singh KELM 79 400 0 29 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners Timo Schick Hinrich Schütze 130 974 0 15 Sep 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 844 42,332 0 28 May 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation Dong-Ho Lee Rahul Khanna Bill Yuchen Lin Jamin Chen Seyeon Lee Qinyuan Ye Elizabeth Boschee Leonardo Neves Xiang Ren 91 22 0 16 Apr 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 348 1,617 0 21 Jan 2020
YEDDA: A Lightweight Collaborative Text Span Annotation Tool Jie Yang Yue Zhang Linwei Li Xingxuan Li VLM 58 107 0 10 Nov 2017
Zero-Shot Relation Extraction via Reading Comprehension Omer Levy Minjoon Seo Eunsol Choi Luke Zettlemoyer ReLM 76 697 0 13 Jun 2017
A large annotated corpus for learning natural language inference Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning 321 4,293 0 21 Aug 2015