3 accepted papers
Multimodal Large Language Models(MLLMs) have shown promising reasoning capabilities in general domains, yet their performance remains limited in specialized settings such as healthcare, particularly for multilingual and low-resource scenarios. This gap is critical in regions like rural India, where
Large Language Models (LLMs) can be used as repositories of biological and chemical information to generate pharmacological lead compounds. However, for LLMs to focus on specific drug targets typically requires experimentation with progressively more refined prompts. Results thus become dependent no…
In this work, we investigate a superimposed chirp waveform for wireless power transfer (WPT) applications. By taking into account the properties of chirp signals, a transmission scheme is proposed that incorporates chirp superposition and subband selection to exploit both diode’s nonlinearity and fr…