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, ...

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 ...