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BERTese: Learning to Speak to BERT

9 March 2021

Papers citing "BERTese: Learning to Speak to BERT"

30 / 80 papers shown

Title
Can discrete information extraction prompts generalize across language models? Nathanaël Carraz Rakotonirina Roberto Dessì Fabio Petroni Sebastian Riedel Marco Baroni 58 8 0 20 Feb 2023
Prompting Large Language Models With the Socratic Method Edward Y. Chang LRM ELM 115 52 0 17 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 152 116 0 16 Jan 2023
Optimizing Prompts for Text-to-Image Generation Y. Hao Zewen Chi Li Dong Furu Wei 125 152 0 19 Dec 2022
SPE: Symmetrical Prompt Enhancement for Fact Probing Yiyuan Li Tong Che Yezhen Wang Zhengbao Jiang Caiming Xiong Snigdha Chaturvedi 77 6 0 14 Nov 2022
Communication breakdown: On the low mutual intelligibility between human and neural captioning Roberto Dessì Eleonora Gualdoni Francesca Franzon Gemma Boleda Marco Baroni VLM 110 6 0 20 Oct 2022
Query Rewriting for Effective Misinformation Discovery Ashkan Kazemi Artem Abzaliev Naihao Deng Rui Hou Scott A. Hale Verónica Pérez-Rosas Rada Mihalcea KELM 67 2 0 14 Oct 2022
MetaPrompting: Learning to Learn Better Prompts Yutai Hou Hongyuan Dong Xinghao Wang Bohan Li Wanxiang Che VLM 72 30 0 23 Sep 2022
Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models Zichun Yu Tianyu Gao Zhengyan Zhang Yankai Lin Zhiyuan Liu Maosong Sun Jie Zhou VLM LRM 51 1 0 20 Sep 2022
Prompting as Probing: Using Language Models for Knowledge Base Construction Dimitrios Alivanistos Selene Báez Santamaría Michael Cochez Jan-Christoph Kalo Emile van Krieken Thiviyan Thanapalasingam KELM 98 48 0 23 Aug 2022
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence Chaozheng Wang Yuanhang Yang Cuiyun Gao Yun Peng Hongyu Zhang Michael R. Lyu AAML 115 144 0 24 Jul 2022
Probing via Prompting Jiaoda Li Ryan Cotterell Mrinmaya Sachan 109 13 0 04 Jul 2022
Learning a Better Initialization for Soft Prompts via Meta-Learning Yukun Huang Kun Qian Zhou Yu VLM 141 9 0 25 May 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding Rishabh Bhardwaj Amrita Saha Guosheng Lin Soujanya Poria VLM VPVLM 51 7 0 23 May 2022
Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration Kaijian Li Shansan Gong Kenny Q. Zhu 49 0 0 21 May 2022
Probing Simile Knowledge from Pre-trained Language Models Weijie Chen Yongzhu Chang Rongsheng Zhang Jiashu Pu Guandan Chen Le Zhang Yadong Xi Yijiang Chen Chang Su 78 11 0 27 Apr 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View Boxi Cao Hongyu Lin Xianpei Han Fangchao Liu Le Sun ELM AAML 57 43 0 23 Mar 2022
Pre-trained Token-replaced Detection Model as Few-shot Learner Zicheng Li Shoushan Li Guodong Zhou 77 9 0 07 Mar 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 102 71 0 21 Jan 2022
Learning To Retrieve Prompts for In-Context Learning Ohad Rubin Jonathan Herzig Jonathan Berant VPVLM RALM 96 709 0 16 Dec 2021
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation Tianyi Liu Zuxuan Wu Wenhan Xiong Jingjing Chen Yu-Gang Jiang VLM MLLM 88 10 0 10 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey Bonan Min Hayley L Ross Elior Sulem Amir Pouran Ben Veyseh Thien Huu Nguyen Oscar Sainz Eneko Agirre Ilana Heinz Dan Roth LM&MA VLM AI4CE 189 1,094 0 01 Nov 2021
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER Dong-Ho Lee Akshen Kadakia Kangmin Tan Mahak Agarwal Xinyu Feng Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren 127 87 0 16 Oct 2021
Distilling Relation Embeddings from Pre-trained Language Models Asahi Ushio Jose Camacho-Collados Steven Schockaert 69 22 0 21 Sep 2021
Continuous Entailment Patterns for Lexical Inference in Context Martin Schmitt Hinrich Schütze 78 3 0 08 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 277 4,044 0 28 Jul 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts Guanghui Qin J. Eisner 68 551 0 14 Apr 2021
Relational World Knowledge Representation in Contextual Language Models: A Review Tara Safavi Danai Koutra KELM 100 51 0 12 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall Zexuan Zhong Dan Friedman Danqi Chen 81 413 0 12 Apr 2021
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains Eyal Ben-David Nadav Oved Roi Reichart VLM OOD 96 94 0 24 Feb 2021