3 citations · 6 across the 20 of their papers we have counts for
6 papers · 1 filter
Ungraded Assignments in Introductory Computing: A Report
Yehya Sleiman Tellawi, Abhishek K. Umrawal
This experience report explores the effects of ungraded assignments on the learning experience of students in an introductory computing course. Our study examines the impact of ung…
A Community-Aware Framework for Influence Maximization with Explicit Accounting for Inter-Community Influence
Eliot W. Robson, Abhishek K. Umrawal
Influence Maximization (IM) seeks to identify a small set of seed nodes in a social network to maximize expected information spread under a diffusion model. While community-based a…
A Pressure-Based Diffusion Model for Influence Maximization on Social Networks
Curt Stutsman, Eliot W. Robson, Abhishek K. Umrawal
In many real-world scenarios, an individual's local social network carries significant influence over the opinions they form and subsequently propagate. In this paper, we propose a…
Content filtering methods for music recommendation: A review
Terence Zeng, Abhishek K. Umrawal
Recommendation systems have become essential in modern music streaming platforms, shaping how users discover and engage with songs. One common approach in recommendation systems is…
Concealment of Intent: A Game-Theoretic Analysis
Xinbo Wu, Abhishek Umrawal, Lav R. Varshney
As large language models (LLMs) grow more capable, concerns about their safe deployment have also grown. Although alignment mechanisms have been introduced to deter misuse, they re…
JAM: Controllable and Responsible Text Generation via Causal Reasoning and Latent Vector Manipulation
Yingbing Huang, Deming Chen, Abhishek K. Umrawal
While large language models (LLMs) have made significant strides in generating coherent and contextually relevant text, they often function as opaque black boxes, trained on vast u…