1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification
Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi +3
Recently, there has been a growing availability of pre-trained text models on various model repositories. These models greatly reduce the cost of training new models from scratch a…
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis
Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan +1
Circuit topology generation plays a crucial role in the design of electronic circuits, influencing the fundamental functionality of the circuit. In this paper, we introduce CIRCUIT…
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation
Prashanth Vijayaraghavan, Luyao Shi, Stefano Ambrogio +4
With the unprecedented advancements in Large Language Models (LLMs), their application domains have expanded to include code generation tasks across various programming languages.…
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction
Yuqing Wang, Prashanth Vijayaraghavan, Ehsan Degan
Email is a widely used tool for business communication, and email marketing has emerged as a cost-effective strategy for enterprises. While previous studies have examined factors a…