Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

The next step was fine-tuning the language model (supervised finetuning) for translation tasks. Then, at the reinforcement learning stage ... compared pairs of long and complex texts translated using ...

the first open-source adaptation of the R1-Zero Reinforcement Learning (RL) paradigm for Machine Translation (MT). MT-R1-Zero achieves highly competitive translation quality without supervised ...

Artificial Intelligence (AI) is transforming nearly every industry, including translation ... of languages. Translation tools are also important for professionals in the field who rely on the latest ...

Their proposed method, TREQA (Translation Evaluation via Question Answering), generates comprehension questions over entire ...

Customer experience (CX) is evolving beyond traditional touchpoints. Rapid globalization and an increasingly multilingual ...

As the capabilities of artificial intelligence grow day by day, many schoolchildren are asking themselves if they really still need to learn foreign languages. Indeed, it's a question that ChatGPT ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...