Reframing Instructional Prompts to GPTk's Language

16 September 2021

Daniel Khashabi

Yejin Choi

Papers citing "Reframing Instructional Prompts to GPTk's Language"

29 / 29 papers shown

Title
TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models Mihai Nadas Laura Diosan Andrei Piscoran Andreea Tomescu VGen 50 0 0 29 Apr 2025
ICL CIPHERS: Quantifying "Learning'' in In-Context Learning via Substitution Ciphers Zhouxiang Fang Aayush Mishra Muhan Gao Anqi Liu Daniel Khashabi 40 0 0 28 Apr 2025
LLM Program Optimization via Retrieval Augmented Search Sagnik Anupam Alexander Shypula Osbert Bastani 117 1 0 31 Jan 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models Ran Xu Hejie Cui Yue Yu Xuan Kan Wenqi Shi Yuchen Zhuang Wei Jin Joyce C. Ho Carl Yang 49 12 0 28 Jan 2025
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Sepideh Mamooler Syrielle Montariol Alexander Mathis Antoine Bosselut 76 1 0 16 Dec 2024
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models Mohammed-Khalil Ghali Abdelrahman Farrag Hajar Sakai Hicham El Baz Yu Jin Sarah Lam LM&MA MedIm 14 8 0 31 May 2024
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers G. Yona Roee Aharoni Mor Geva ELM 10 11 0 09 Jan 2024
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks Hao Peng Xiaozhi Wang Jianhui Chen Weikai Li Y. Qi ... Zhili Wu Kaisheng Zeng Bin Xu Lei Hou Juanzi Li 11 27 0 15 Nov 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning Lucas Weber Elia Bruni Dieuwke Hupkes 18 24 0 20 Oct 2023
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages Zijie Wang Md Mosharaf Hossain Shivam Mathur Terry Cruz Melo Kadir Bulut Ozler ... Jacob Quintero MohammadHossein Rezaei Shreya Nupur Shakya Md Nayem Uddin Eduardo Blanco 10 1 0 20 Oct 2023
AutoMix: Automatically Mixing Language Models Pranjal Aggarwal Aman Madaan Ankit Anand Srividya Pranavi Potharaju Swaroop Mishra ... Karthik Kappaganthu Yiming Yang Shyam Upadhyay Manaal Faruqui Mausam 32 17 0 19 Oct 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 17 1 0 27 Aug 2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning Xindi Wang Yufei Wang Can Xu Xiubo Geng Bowen Zhang Chongyang Tao Frank Rudzicz Robert E. Mercer Daxin Jiang 6 11 0 28 Jul 2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models Qiang Zhang Jason Naradowsky Yusuke Miyao ELM 6 32 0 29 May 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Lingfeng Shen Weiting Tan Boyuan Zheng Daniel Khashabi VLM 9 6 0 18 May 2023
Distilling Script Knowledge from Large Language Models for Constrained Language Planning Siyu Yuan Jiangjie Chen Ziquan Fu Xuyang Ge Soham Shah C. R. Jankowski Yanghua Xiao Deqing Yang 25 46 0 09 May 2023
Demystifying Prompts in Language Models via Perplexity Estimation Hila Gonen Srini Iyer Terra Blevins Noah A. Smith Luke Zettlemoyer LRM 11 194 0 08 Dec 2022
Active Example Selection for In-Context Learning Yiming Zhang Shi Feng Chenhao Tan SILM LRM 8 185 0 08 Nov 2022
Measuring and Narrowing the Compositionality Gap in Language Models Ofir Press Muru Zhang Sewon Min Ludwig Schmidt Noah A. Smith M. Lewis ReLM KELM LRM 17 547 0 07 Oct 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark A. Kalyan ELM ReLM LRM 198 1,089 0 20 Sep 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 17 446 0 01 Aug 2022
Less is More: Summary of Long Instructions is Better for Program Synthesis Kirby Kuznia Swaroop Mishra Mihir Parmar Chitta Baral AIMat 6 22 0 16 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 5 1,388 0 25 Feb 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 114 42 0 28 Jan 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
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 274 882 0 18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 391 2,216 0 03 Sep 2019