ReactionT5: a large-scale pre-trained model towards application of limited reaction data

12 November 2023

Papers citing "ReactionT5: a large-scale pre-trained model towards application of limited reaction data"

9 / 9 papers shown

Title
ChemDFM-X: Towards Large Multimodal Model for Chemistry Zihan Zhao B. Chen Jingpiao Li Lu Chen Liyang Wen ... Ziping Wan Yansi Li Zhongyang Dai Xin Chen Kai Yu AI4CE 213 5 0 03 Jan 2025
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models Alexius Wadell Anoushka Bhutani Venkatasubramanian Viswanathan 446 1 0 19 Sep 2024
MolX: Enhancing Large Language Models for Molecular Learning with A Multi-Modal Extension Khiem Le Zhichun Guo Kaiwen Dong Xiaobao Huang B. Nan Roshni G. Iyer Xiangliang Zhang Olaf Wiest Wei Wang Nitesh Chawla 89 0 0 10 Jun 2024
A Systematic Survey of Chemical Pre-trained Models Jun Xia Yanqiao Zhu Yuanqi Du Stan Z.Li AI4CE 117 53 0 29 Oct 2022
Translation between Molecules and Natural Language Carl Edwards T. Lai Kevin Ros Garrett Honke Kyunghyun Cho Heng Ji 112 168 0 25 Apr 2022
Scaling Laws for Transfer Danny Hernandez Jared Kaplan T. Henighan Sam McCandlish 92 250 0 02 Feb 2021
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 488 20,342 0 23 Oct 2019
Molecular Transformer - A Model for Uncertainty-Calibrated Chemical Reaction Prediction P. Schwaller Teodoro Laino John McGuinness A. Horváth Constantine Bekas A. Lee 111 741 0 06 Nov 2018
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing Taku Kudo John Richardson 206 3,531 0 19 Aug 2018