10 citations · 15 across the 4 of their papers we have counts for
4 papers
VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research
Elliott Wen, Chitralekha Gupta, Prasanth Sasikumar +5
Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches demand an accurately-labeled, real-world, and diverse dataset for h…
Striving for Authentic and Sustained Technology Use In the Classroom: Lessons Learned from a Longitudinal Evaluation of a Sensor-based Science Education Platform
Yvonne Chua, Sankha Cooray, Juan Pablo Forero Cortes +19
Technology integration in educational settings has led to the development of novel sensor-based tools that enable students to measure and interact with their environment. Although…
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen +3
Retrieval Augment Generation (RAG) is a recent advancement in Open-Domain Question Answering (ODQA). RAG has only been trained and explored with a Wikipedia-based external knowledg…
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen +1
In this paper, we illustrate how to fine-tune the entire Retrieval Augment Generation (RAG) architecture in an end-to-end manner. We highlighted the main engineering challenges tha…