5 citations · 9 across the 17 of their papers we have counts for
8 papers · 1 filter
HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation
Rabimba Karanjai, Lei Xu, Weidong Shi
Unit testing in High-Performance Computing (HPC) is critical but challenged by parallelism, complex algorithms, and diverse hardware. Traditional methods often fail to address non-…
QuCoWE Quantum Contrastive Word Embeddings with Variational Circuits for NearTerm Quantum Devices
Rabimba Karanjai, Hemanth Hegadehalli Madhavarao, Lei Xu +1
We present QuCoWE a framework that learns quantumnative word embeddings by training shallow hardwareefficient parameterized quantum circuits PQCs with a contrastive skipgram object…
Evaluating the Quality of Randomness and Entropy in Tasks Supported by Large Language Models
Rabimba Karanjai, Yang Lu, Ranjith Chodavarapu +2
The rapid advancement of large language model (LLM) technology has led to diverse applications, many of which inherently require randomness, such as stochastic decision-making, gam…
From General Reasoning to Domain Expertise: Uncovering the Limits of Generalization in Large Language Models
Dana Alsagheer, Yang Lu, Abdulrahman Kamal +7
Recent advancements in Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains. However, effective decision-making relies heavily on strong reason…
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy
Rabimba Karanjai, Boris Shor, Amanda Austin +4
This paper investigates the use of Large Language Models (LLMs) to synthesize public opinion data, addressing challenges in traditional survey methods like declining response rates…
Collaboration is all you need: LLM Assisted Safe Code Translation
Rabimba Karanjai, Sam Blackshear, Lei Xu +1
This paper introduces UniTranslator, a visionary framework that re-imagines code translation as a collaborative endeavor among multiple, compact LLMs. By orchestrating the interact…
Weaving the Cosmos: WASM-Powered Interchain Communication for AI Enabled Smart Contracts
Rabimba Karanjai, Lei Xu, Weidong Shi
In this era, significant transformations in industries and tool utilization are driven by AI/Large Language Models (LLMs) and advancements in Machine Learning. There's a growing em…
Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
Rabimba Karanjai, Lei Xu, Weidong Shi
The rapid growth of the blockchain ecosystem and the increasing value locked in smart contracts necessitate robust security measures. While languages like Solidity and Move aim to…