3 citations · 5 across the 5 of their papers we have counts for
5 papers
Hallucination Detection and Hallucination Mitigation: An Investigation
Junliang Luo, Tianyu Li, Di Wu +3
Large language models (LLMs), including ChatGPT, Bard, and Llama, have achieved remarkable successes over the last two years in a range of different applications. In spite of these…
Device-Free Human State Estimation using UWB Multi-Static Radios
Saria Al Laham, Bobak H. Baghi, Pierre-Yves Lajoie +4
We present a human state estimation framework that allows us to estimate the location, and even the activities, of people in an indoor environment without the requirement that they…
SAGE: Smart home Agent with Grounded Execution
Dmitriy Rivkin, Francois Hogan, Amal Feriani +4
The common sense reasoning abilities and vast general knowledge of Large Language Models (LLMs) make them a natural fit for interpreting user requests in a Smart Home assistant con…
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
Amal Feriani, Di Wu, Steve Liu +1
Deep learning has been extensively used in wireless communication problems, including channel estimation. Although several data-driven approaches exist, a fair and realistic compar…
Communication Load Balancing via Efficient Inverse Reinforcement Learning
Abhisek Konar, Di Wu, Yi Tian Xu +3
Communication load balancing aims to balance the load between different available resources, and thus improve the quality of service for network systems. After formulating the load…