32 citations · 43 across the 29 of their papers we have counts for
32 papers
OpenLanguageModel: Readable and Composable Small-Language-Model Pretraining for Education and Research
Tavish Mankash, Vardhaman Kalloli, Keshava Prasad +1
OpenLanguageModel (OLM) is an open-source PyTorch library for building and pretraining small language models while keeping their machinery visible. In OLM, model code reads like th…
Emissions and Performance Trade-off Between Small and Large Language Models
Anandita Garg, Uma Gaba, Deepan Muthirayan +1
The advent of Large Language Models (LLMs) has raised concerns about their enormous carbon footprint, starting with energy-intensive training and continuing through repeated infere…
Enhancing Public Speaking Skills in Engineering Students Through AI
Amol Harsh, Brainerd Prince, Siddharth Siddharth +4
This research-to-practice full paper was inspired by the persistent challenge in effective communication among engineering students. Public speaking is a necessary skill for future…
Long-term Fairness For Real-time Decision Making: A Constrained Online Optimization Approach
Ruijie Du, Deepan Muthirayan, Pramod P. Khargonekar +1
Machine learning (ML) has demonstrated remarkable capabilities across many real-world systems, from predictive modeling to intelligent automation. However, the widespread integrati…
Online Learning for Incentive-Based Demand Response
Deepan Muthirayan, Pramod P. Khargonekar
In this paper, we consider the problem of learning online to manage Demand Response (DR) resources. A typical DR mechanism requires the DR manager to assign a baseline to the parti…
Scalable Grid-Aware Dynamic Matching using Deep Reinforcement Learning
Majid Majidi, Deepan Muthirayan, Masood Parvania +1
This paper proposes a two-level hierarchical matching framework for Integrated Hybrid Resources (IHRs) with grid constraints. An IHR is a collection of Renewable Energy Sources (RE…