Search Results for author:
Found 5 papers, 1 papers with code
Hallucination Detection and Hallucination Mitigation: An Investigation
Large language models (LLMs), including ChatGPT, Bard, and Llama, have achieved remarkable successes over the last two years in a range of different applications.
Device-Free Human State Estimation using UWB Multi-Static Radios
We make use of the channel impulse response (CIR) measurements from the UWB sensors to estimate the human state - comprised of location and activity - in a given area.
SAGE: Smart home Agent with Grounded Execution
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 context.
CeBed: A Benchmark for Deep Data-Driven OFDM Channel Estimation
This work offers a comprehensive and unified framework to help researchers evaluate and design data-driven channel estimation algorithms.
Communication Load Balancing via Efficient Inverse Reinforcement Learning
Engineering this reward function is challenging, because it involves the need for expert knowledge and there lacks a general consensus on the form of an optimal reward function.
