Monocular Depth Estimation, which involves estimating depth from a single image, holds tremendous potential. It can add a third dimension to any image—regardless of when or how it was captured—without ...

The development and evaluation of Large Language Models (LLMs) have primarily focused on assessing individual abilities, overlooking the importance of how these capabilities intersect to handle ...

In recent years, Voice Transfer (VT) technology has made notable strides, particularly in applications such as Text-to-Speech (TTS), Voice Conversion (VC), and Speech-to-Speech Translation. However, ...

Although the connection between language modeling and data compression has been recognized for some time, current Large Language Models (LLMs) are not typically used for practical text compression due ...

One of the major challenges in modern scientific research is finding effective ways to model, interpret, and utilize data collected from diverse sources to drive new discoveries. As scientific ...

“Global Vision, Ideas in Collision, Leading Cutting-Edge Innovations” – The 6th annual BAAI Conference successfully concluded on June 15. Over 200 AI scholars and industry leaders gathered to discuss ...

In a new paper Scalable MatMul-free Language Modeling, a research team introduces the first scalable MatMul-free language model, demonstrating that it is possible to completely eliminate MatMul ...

On September 24, ByteDance’s technology arm, Volcano Engine, introduced two state-of-the-art video generation models, PixelDance and Seaweed, which significantly enhance video content creation ...

Autonomous agents powered by large language models (LLMs) have garnered considerable research attention. However, the open-source community faces significant hurdles in developing specialized models ...