ScriptoriumWS: A Code Generation Assistant for Weak Supervision

17 February 2025

Papers citing "ScriptoriumWS: A Code Generation Assistant for Weak Supervision"

31 / 31 papers shown

Title
The ALCHEmist: Automated Labeling 500x CHEaper Than LLM Data Annotators Tzu-Heng Huang Catherine Cao Vaishnavi Bhargava Frederic Sala 104 5 0 25 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 88 0 0 16 Jun 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma Reid Chen Chen Sui Jiet Tay Satya Sai Srinath Namburi Frederic Sala Ramya Korlakai Vinayak 136 2 0 24 Apr 2024
ActiveDP: Bridging Active Learning and Data Programming Naiqing Guan Nick Koudas VLM 82 1 0 08 Feb 2024
Lifting Weak Supervision To Structured Prediction Harit Vishwakarma Nicholas Roberts Frederic Sala NoLa 70 8 0 24 Nov 2022
Large Language Models Are Human-Level Prompt Engineers Yongchao Zhou Andrei Ioan Muresanu Ziwen Han Keiran Paster Silviu Pitis Harris Chan Jimmy Ba ALM LLMAG 186 902 0 03 Nov 2022
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language Paul Denny Viraj Kumar Nasser Giacaman 68 248 0 27 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 268 217 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 109 9 0 30 Aug 2022
Classifying Unstructured Clinical Notes via Automatic Weak Supervision Chufan Gao Mononito Goswami Jieshi Chen Artur Dubrawski 111 10 0 24 Jun 2022
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models Sami Sarsa Paul Denny Arto Hellas Juho Leinonen ELM 170 360 0 03 Jun 2022
Language Models in the Loop: Incorporating Prompting into Weak Supervision Ryan Smith Jason Alan Fries Braden Hancock Stephen H. Bach 108 56 0 04 May 2022
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp Bo Pang Hiroaki Hayashi Lifu Tu Haiquan Wang Yingbo Zhou Silvio Savarese Caiming Xiong ELM 159 1,046 0 25 Mar 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 237 658 0 26 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 856 9,714 0 28 Jan 2022
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 72 113 0 23 Sep 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq Joty Guosheng Lin 299 1,592 0 02 Sep 2021
Want To Reduce Labeling Cost? GPT-3 Can Help Shuohang Wang Yang Liu Yichong Xu Chenguang Zhu Michael Zeng 75 257 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 239 4,004 0 28 Jul 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 238 5,675 0 07 Jul 2021
Weakly Supervised Named Entity Tagging with Learnable Logical Rules Jiacheng Li Haibo Ding Jingbo Shang Julian McAuley Zhe Feng NAI 80 37 0 05 Jul 2021
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition Xinyan Zhao Haibo Ding Z. Feng 58 23 0 13 Apr 2021
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking Willie Neiswanger Eric Xing A. Dubrawski NoLa OffRL 102 70 0 11 Dec 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 89 70 0 09 Oct 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 904 42,463 0 28 May 2020
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods Daniel Y. Fu Mayee F. Chen Frederic Sala Sarah Hooper Kayvon Fatahalian Christopher Ré OffRL 92 117 0 27 Feb 2020
GOGGLES: Automatic Image Labeling with Affinity Coding Nilaksh Das Sanya Chaba Renzhi Wu Sakshi Gandhi Duen Horng Chau Xu Chu VLM 54 33 0 11 Mar 2019
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale Stephen H. Bach Daniel Rodríguez Yintao Liu Chong Luo Haidong Shao ... Braden Hancock H. Alborzi Rahul Kuchhal Christopher Ré Rob Malkin 83 146 0 02 Dec 2018
Training Complex Models with Multi-Task Weak Supervision Alexander Ratner Braden Hancock Jared A. Dunnmon Frederic Sala Shreyash Pandey Christopher Ré 61 213 0 05 Oct 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 83 1,032 0 28 Nov 2017
Data Programming: Creating Large Training Sets, Quickly Alexander Ratner Christopher De Sa Sen Wu Daniel Selsam Christopher Ré 208 719 0 25 May 2016