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20212026
most citedTargeted Phishing Campaigns using Large Scale Language Models

20 citations · 41 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.SE2024

Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing

Rabimba Karanjai, Aftab Hussain, Md Rafiqul Islam Rabin +3

Unit testing is crucial in software engineering for ensuring quality. However, it's not widely used in parallel and high-performance computing software, particularly scientific app…

cs.SE2024★ 2 cited

Decentralized FaaS over Multi-Clouds with Blockchain based Management for Supporting Emerging Applications

Rabimba Karanjai, Lei Xu, Lin Chen +2

Function-as-a-Service (FaaS) offers a streamlined cloud computing paradigm, but existing centralized systems suffer from vendor lock-in and single points of failure. We propose DeF…

cs.LG2024

LookALike: Human Mimicry based collaborative decision making

Rabimba Karanjai, Weidong Shi

Artificial General Intelligence falls short when communicating role specific nuances to other systems. This is more pronounced when building autonomous LLM agents capable and desig…

cs.CY2024★ 3 cited

Comparing Rationality Between Large Language Models and Humans: Insights and Open Questions

Dana Alsagheer, Rabimba Karanjai, Nour Diallo +4

This paper delves into the dynamic landscape of artificial intelligence, specifically focusing on the burgeoning prominence of large language models (LLMs). We underscore the pivot…

cs.SE2024★ 6 cited

Teaching Machines to Code: Smart Contract Translation with LLMs

Rabimba Karanjai, Lei Xu, Weidong Shi

The advent of large language models (LLMs) has marked a significant milestone in the realm of artificial intelligence, with their capabilities often matching or surpassing human ex…