Abstract: In this paper, we focus on monolithic Multimodal Large Language Models (MLLMs) that integrate visual encoding and language decoding into a single LLM. In particular, we identify that ...

The first unmistakable signal from another intelligence would rank alongside fire and writing in the story of our species, yet a growing group of researchers warns that such a moment might arrive not ...

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 ...

Abstract: Speculative decoding has proven to be a powerful method for speeding up autoregressive inference by allowing tokens to be generated in parallel using a draft-then-verify approach. However, ...

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 ...

A recent study reveals that reduced blinking in noisy environments might signify greater cognitive effort needed to process speech, offering new insights into the subtle cues of mental engagement.

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 ...