A Reliable Knowledge Processing Framework for Combustion Science using
Foundation Models

A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models

31 December 2023

Vansh Sharma

Venkat Raman

Papers citing "A Reliable Knowledge Processing Framework for Combustion Science using Foundation Models"

4 / 4 papers shown

Title
A Machine Learning Based Approach for Statistical Analysis of Detonation Cells from Soot Foils Vansh Sharma M. Ullman Venkat Raman 20 1 0 10 Sep 2024
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 236 780 0 14 Oct 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013