Large Language Model

In the domain of large language models (LLMs), text-to-speech (TTS) synthesis presents a unique challenge, and researchers are exploring their potential for audio synthesis. Historically, systems have used various methodologies, from reassembling audio segments to using acoustic parameters, and more recently, generating mel-spectrograms directly from text. However, these methods face limitations like lower fidelity and…

For AI research, efficiently managing long contextual inputs in Retrieval-Augmented Generation (RAG) models is a central challenge. Current techniques such as context compression have certain limitations, particularly in how they handle multiple context documents, which is a pressing issue for many real-world scenarios. Addressing this challenge effectively, researchers from the University of Amsterdam, The University of…

Human-computer interaction (HCI) greatly enhances the communication between individuals and computers across various dimensions including social dialogue, writing assistance, and multimodal interactions. However, issues surrounding continuity and personalization during long-term interactions remain. Many existing systems require tracking user-specific details and preferences over longer periods, leading to discontinuity and insufficient personalization. In response to these challenges,…