Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection

This dataset does not exist: training models from generated images

Original

Victor Besnier, Himalaya Jain, Andrei Bursuc, Matthieu Cord, and Patrick Pérez · 1911

Earlier work this paper cites.

The changing landscape of randomized clinical trials in cardiovascular disease

W Schuyler Jones, Matthew T Roe, Elliott M Antman, Mark J Pletcher, Robert A Harrington, Russell L Rothman, William J Oetgen, Sunil V Rao, Mitchell W Krucoff, Lesley H Curtis, et al · 2016

Earlier work this paper cites.

Trial watch: trends in clinical trial design complexity

Kenneth A Getz and Rafael A Campo · 2017

Earlier work this paper cites.

What happens when? interpreting schedule of activity tables in clinical trial documents

Murtaza Dhuliawala, Nicholas Fay, Daniel Gruen, and Amar Das · 2018

Earlier work this paper cites.

Improving language understanding by generative pre-training

Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018

Earlier work this paper cites.

Technology-enabled clinical trials: transforming medical evidence generation

Guillaume Marquis-Gravel, Matthew T Roe, Mintu P Turakhia, William Boden, Robert Temple, Abhinav Sharma, Boaz Hirshberg, Paul Slater, Noah Craft, Norman Stockbridge, et al · 2019

Earlier work this paper cites.

Language models are unsupervised multitask learners

Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019

Earlier work this paper cites.

Digitizing clinical trials

Omer T Inan, P Tenaerts, Sheila A Prindiville, HR Reynolds, DS Dizon, K Cooper-Arnold, M Turakhia, Mark J Pletcher, Kenzie L Preston, Harlan M Krumholz, et al · 2020

Earlier work this paper cites.

Evaluating large language models trained on code, 2021

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba · 2021

Earlier work this paper cites.

Ai-based language models powering drug discovery and development

Zhichao Liu, Ruth A Roberts, Madhu Lal-Nag, Xi Chen, Ruili Huang, and Weida Tong · 2021

Earlier work this paper cites.

Learning transferable visual models from natural language supervision

Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021

Earlier work this paper cites.

Zero-shot text-to-image generation, 2021

Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021

Cited alongside, same era.

Using digital technologies in clinical trials: Current and future applications

Carmen Rosa, Lisa A Marsch, Erin L Winstanley, Meg Brunner, and Aimee NC Campbell · 2021

Cited alongside, same era.

GPT3Mix: Leveraging large-scale language models for text augmentation

Kang Min Yoo, Dongju Park, Jaewook Kang, Sang-Woo Lee, and Woomyoung Park · 2021

Cited alongside, same era.

Generating training data with language models: Towards zero-shot language understanding

Yu Meng, Jiaxin Huang, Yu Zhang, and Jiawei Han · 2022

Cited alongside, same era.

Palm 2 technical report, 2023

Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernandez Abrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vlad Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, Guy Gur-Ari, Steven Hand, Hadi Hashemi, Le Hou, Joshua Howland, Andrea Hu, Jeffrey Hui, Jeremy Hurwitz, Michael Isard, Abe Ittycheriah, Matthew Jagielski, Wenhao Jia, Kathleen Kenealy, Maxim Krikun, Sneha Kudugunta, Chang Lan, Katherine Lee, Benjamin Lee, Eric Li, Music Li, Wei Li, YaGuang Li, Jian Li, Hyeontaek Lim, Hanzhao Lin, Zhongtao Liu, Frederick Liu, Marcello Maggioni, Aroma Mahendru, Joshua Maynez, Vedant Misra, Maysam Moussalem, Zachary Nado, John Nham, Eric Ni, Andrew Nystrom, Alicia Parrish, Marie Pellat, Martin Polacek, Alex Polozov, Reiner Pope, Siyuan Qiao, Emily Reif, Bryan Richter, Parker Riley, Alex Castro Ros, Aurko Roy, Brennan Saeta, Rajkumar Samuel, Renee Shelby, Ambrose Slone, Daniel Smilkov, David R. So, Daniel Sohn, Simon Tokumine, Dasha Valter, Vijay Vasudevan, Kiran Vodrahalli, Xuezhi Wang, Pidong Wang, Zirui Wang, Tao Wang, John Wieting, Yuhuai Wu, Kelvin Xu, Yunhan Xu, Linting Xue, Pengcheng Yin, Jiahui Yu, Qiao Zhang, Steven Zheng, Ce Zheng, Weikang Zhou, Denny Zhou, Slav Petrov, and Yonghui Wu · 2023

Exploration and adaptation of large language models for specialized domains

Betty van Aken · 2023

Later among the works it cites.

Clinical text summarization: Adapting large language models can outperform human experts

Dave Van Veen, Cara Van Uden, Louis Blankemeier, Jean-Benoit Delbrouck, Asad Aali, Christian Bluethgen, Anuj Pareek, Malgorzata Polacin, Eduardo Pontes Reis, Anna Seehofnerova, et al · 2023

Later among the works it cites.

Verily Viewpoint: Site CTMS and Protocol Digitization

Verily Life Sciences · 2023

Later among the works it cites.

Jointly extracting interventions, outcomes, and findings from rct reports with llms

Somin Wadhwa, Jay DeYoung, Benjamin Nye, Silvio Amir, and Byron C Wallace · 2023

Later among the works it cites.

Llm for patient-trial matching: Privacy-aware data augmentation towards better performance and generalizability

Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, and Xia Hu · 2023

Later among the works it cites.