The first unmistakable signal from another intelligence would rank alongside fire and writing in the story of our species, ...

This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...

Scientists can finally hear the brain’s quietest messages—unlocking the hidden code behind how neurons think, decide, and ...

Scientists have engineered a protein able to record the incoming chemical signals of brain cells (as opposed to just their ...

Speculative decoding is a widely adopted technique for accelerating inference in large language models (LLMs), yet its application to vision-language models (VLMs) remains underexplored, with existing ...

Imagine you’re a physician and you are called in to evaluate a patient who has had a sudden change in his neurological status, likely a stroke. You find him alert, mobile, and talking. But when you ...

Abstract: Transformer-based language models, such as BERT, GPT-3/4, and T5, are revolutionizing natural language processing (NLP). These models are increasingly being explored in the biomedical ...

Abstract: Code-switching (CS) automatic speech recognition (ASR) faces challenges due to the language confusion resulting from accents, auditory similarity, and seamless language switches. Adaptation ...