Categories: FAANG

MARRS: Multimodal Reference Resolution System

*= All authors listed contributed equally to this work
Successfully handling context is essential for any dialog understanding task. This context maybe be conversational (relying on previous user queries or system responses), visual (relying on what the user sees, for example, on their screen), or background (based on signals such as a ringing alarm or playing music). In this work, we present an overview of MARRS, or Multimodal Reference Resolution System, an on-device framework within a Natural Language Understanding system, responsible for handling conversational, visual and background…
AI Generated Robotic Content

Recent Posts

Does anyone else can’t stand ComfyUI and prefers classic Automatic/Forge UI or it’s just me?

EDIT: I can't believe how many great and useful replies I've got, and not a…

11 hours ago

Serving Multiple Users at Once: How Continuous Batching Keeps LLM Inference Efficient

This article is divided into four parts; they are: • The Problem with Static Batching…

11 hours ago

Everyone Has Their Targets Set on the MacBook Neo

Dell, Microsoft, and others are unveiling new laptops to compete directly with the Neo, but…

12 hours ago

Photon-driven synapse advances low-power neuromorphic systems

Modern artificial intelligence systems rely on moving large amounts of data between memory and processors,…

12 hours ago

Anima – Sharing Some Prompts and Results

Been experimenting with Anima lately and ended up spending way too much time refining prompts.…

1 day ago

Keychron K2 HE Concrete Edition Review: Rock-Solid Typing

Keychron's K2 HE Concrete Edition sounds like a cute gimmick, but as I discovered, there's…

1 day ago