MARRS: Multimodal Reference Resolution System
*= All authors listed contributed equally to this work. Successfully managing context is essential to any dialogue comprehension task. This ...
*= All authors listed contributed equally to this work. Successfully managing context is essential to any dialogue comprehension task. This ...
Researchers from S-Lab, Nanyang Technological University, Singapore, present OtterHD-8B, an innovative multimodal model derived from Fuyu-8B, designed to accurately interpret ...
Introducción 2023 ha sido un año de IA, desde modelos de lenguaje hasta modelos de difusión estable. Uno de los ...
*= Equal taxpayers We propose a self-supervised anomaly detection technique, called SeMAnD, to detect geometric anomalies in multimodal geospatial datasets. ...
Editor's Image In recent years, generative ai research has evolved in a way that has changed the way we work. ...
In several natural language processing applications, text-based large language models have shown impressive and even human-level performance. Meanwhile, an LLM ...
Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed to a voice assistant and parallel ...
Large language models are sophisticated artificial intelligence systems built to understand and produce human-like language on a large scale. These ...
Introduction In today’s ever-advancing world of technology, there’s an exciting development on the horizon – Advanced Multi-modal Generative ai. This ...
The computer vision community faces a wide range of challenges. Numerous seminar articles were discussed during the pre-training era to ...