Advancements in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information regarding details such as objects, text, and ...

AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one with open source and the other being propriety ...

As large language models (LLMs) continue to evolve, understanding their ability to reflect on and articulate their learned behaviors has become an important aspect of research. Such capabilities, if ...

Comprehension and management of large-scale software repositories is a recurring problem in contemporary software development. Although current tools shine when summarizing small code entities such as ...

The advancements in large language models (LLMs) have significantly enhanced natural language processing (NLP), enabling capabilities like contextual understanding, code generation, and reasoning.

AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one ...

AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one ...

AI has entered an era of the rise of competitive and groundbreaking large language models and multimodal models. The development has two sides, one ...

Text-to-speech (TTS) technology has emerged as a critical tool for bridging the gap between human and machine interaction. The demand for lifelike, emotionally resonant, and linguistically versatile ...

The design and deployment of modern RLMs pose a lot of challenges. They are expensive to develop, have proprietary restrictions, and have complex architectures that limit their access. Moreover, the ...

Sequences are a universal abstraction for representing and processing information, making sequence modeling central to modern deep learning. By framing computational tasks as transformations between ...

Heuristic designing is a practical and indispensable tool leveraged in standard fields like artificial intelligence and operations research to find satisfactory solutions to complex optimisation ...