Language Models in the Loop: Incorporating Prompting into Weak Supervision

4 May 2022

Papers citing "Language Models in the Loop: Incorporating Prompting into Weak Supervision"

20 / 20 papers shown

Title
ScriptoriumWS: A Code Generation Assistant for Weak Supervision Tzu-Heng Huang Catherine Cao Spencer Schoenberg Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 119 5 0 17 Feb 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification Y. Meena Vaibhav Singh Ayush Maheshwari Amrith Krishna Ganesh Ramakrishnan AI4TS 70 0 0 09 Feb 2025
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 50 0 0 16 Jun 2024
Mixed Distillation Helps Smaller Language Model Better Reasoning Chenglin Li Qianglong Chen Liangyue Li Wang Caiyu Yicheng Li Zhang Yin Yin Zhang LRM 26 11 0 17 Dec 2023
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models Ruida Wang Wangchunshu Zhou Mrinmaya Sachan 19 32 0 20 Oct 2023
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Wenxuan Zhou Sheng Zhang Yu Gu Muhao Chen Hoifung Poon 22 59 0 07 Aug 2023
An Adaptive Method for Weak Supervision with Drifting Data Alessio Mazzetto Reza Esfandiarpoor E. Upfal Stephen H. Bach Stephen H. Bach 54 1 0 02 Jun 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes Simran Arora Brandon Yang Sabri Eyuboglu A. Narayan Andrew Hojel Immanuel Trummer Christopher Ré SyDa 47 69 0 19 Apr 2023
Regularized Data Programming with Automated Bayesian Prior Selection Jacqueline R. M. A. Maasch Hao Zhang Qian Yang Fei Wang Volodymyr Kuleshov 25 0 0 17 Oct 2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model Jacob Eisenstein D. Andor Bernd Bohnet Michael Collins David M. Mimno LRM 187 24 0 05 Oct 2022
Ask Me Anything: A simple strategy for prompting language models Simran Arora A. Narayan Mayee F. Chen Laurel J. Orr Neel Guha Kush S. Bhatia Ines Chami Frederic Sala Christopher Ré ReLM LRM 206 205 0 05 Oct 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels Nicholas Roberts Xintong Li Tzu-Heng Huang Dyah Adila Spencer Schoenberg Chengao Liu Lauren Pick Haotian Ma Aws Albarghouthi Frederic Sala UQCV 22 7 0 30 Aug 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 303 11,881 0 04 Mar 2022
Co-training Improves Prompt-based Learning for Large Language Models Hunter Lang Monica Agrawal Yoon Kim David Sontag VLM LRM 162 39 0 02 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 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 211 1,654 0 15 Oct 2021
Creating Training Sets via Weak Indirect Supervision Jieyu Zhang Bohan Wang Xiangchen Song Yujing Wang Yaming Yang Jing Bai Alexander Ratner OffRL 43 17 0 07 Oct 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 258 343 0 01 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 248 1,986 0 31 Dec 2020