3. Programs Archive

Abstract On average, Americans spend 11 hours a day looking at a screen and touch their phones over 2,000 times a day. The goal for the IRL Glasses for this…

Our hierarchical approach uses Major Code, lessening the total codes from 850 to 23. In Major Classification, we used input layer and embedding as well as 2 hidden layers. For Job Title Classification by Major, we used Random Forest to output based on Majority Voting.

How can we improve knowledge distillation from large unstructured data?

VPNs are increasingly promoted as a privacy-enhancing technology and a solution to protecting users’ privacy from surveillance and cyber attacks.1 While most VPN protocols encrypt users’ browsing traffic, the research community has repeatedly demonstrated that encryption algorithms need not be broken for malicious agents with knowledge of users’ encrypted traffic to fingerprint the websites they visit. We investigate whether advancements in VPN technologies in the last two decades make VPNs harder to fingerprint.

In this study, we investigate the capabilities and inherent biases of advanced large language models (LLMs) such as GPT-3.5 and GPT-4 in the context of debate evaluation.

This practitioner paper describes a new, multi-locality benchmark program for testing memory access latency and using it to study recent AMD machines equipped with 3D vertical cache(V-Cache) that can be over 1 GiB in total size on a single node.

In this paper, we introduce the causal data lake discovery problem and propose a large language model(LLM)-based framework to discover potential pairwise causal links between columns from different tables.

This thesis delves into MO-MAB algorithms, examining their broad applications and potential to enhance HPO.

1. Introduction Investment, based on the definition of Robinhood (one famous online brokerage platform), is the attempt to buy assets (stocks, real estate, etc.) with own resources (money or credit)…

DSCC383 Group I Team Youssef Ouenniche, Ian Kaplan, Michael Kingsley, Goutham Swaminathan, Shiva Rahul Edara Advisor: Professor Ajay Anand | Sponsor: Dr. Zidian Xie Analysis & Modeling Background: Opioid Use…

This project aims to build and design a continuous concentration measurement system for a low-volatile monomer in the vapor phase.

Team Members Advisor Michael Giacomelli Problem Statement This project is aimed at designing a device that allows for accurate and repeatable calibration of an optical probe that will be used…