18 citations · 73 across the 32 of their papers we have counts for
7 papers · 1 filter
Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis
Minda Li, Bhaskar Krishnamachari
ChatGPT and other large language models (LLMs) promise to revolutionize software development by automatically generating code from program specifications. We assess the performance…
The Signaler-Responder Game: Learning to Communicate using Thompson Sampling
Radhika Bhuckory, Bhaskar Krishnamachari
We are interested in studying how heterogeneous agents can learn to communicate and cooperate with each other without being explicitly pre-programmed to do so. Motivated by this go…
Integrating Large Language Models with Internet of Things Applications
Mingyu Zong, Arvin Hekmati, Michael Guastalla +2
This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case…
Differentially Private Publication of Electricity Time Series Data in Smart Grids
Sina Shaham, Gabriel Ghinita, Bhaskar Krishnamachari +1
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are ess…
A Survey on the Applications of Zero-Knowledge Proofs
Ryan Lavin, Xuekai Liu, Hardhik Mohanty +3
Zero-knowledge proofs (ZKPs) enable computational integrity and privacy by allowing one party to prove the truth of a statement without revealing underlying data. Compared with alt…
Modeling and Analysis of Crypto-Backed Over-Collateralized Stable Derivatives in DeFi
Zhenbang Feng, Hardhik Mohanty, Bhaskar Krishnamachari
In decentralized finance (DeFi), stablecoins like DAI are designed to offer a stable value amidst the fluctuating nature of cryptocurrencies. We examine the class of crypto-backed…