Your Daily AI Research tl;dr — 2022–07–04 🧠

One simple sentence to know if the paper, code, and news are worth your time.

Welcome to your official daily AI research tl;dr (often with code and news) for AI enthusiasts where I share the most exciting papers I find daily, along with a one-liner summary to help you quickly determine if the article (and code) is worth investigating. I will also take this opportunity to share daily exciting news in the field.

Let’s get started with this iteration!

1️⃣ ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time

Zero-shot Concept Recognition and Acquisition (ZeroC): a neuro-symbolic architecture that can recognize and acquire novel concepts in a zero-shot way, representing them as graphs of constituent concept models (nodes) and their relations (edges), applied to classification and detection tasks.

Link to the paper: https://arxiv.org/pdf/2206.15049.pdf

Code: http://snap.stanford.edu/zeroc/

2️⃣ Solving Quantitative Reasoning Problems with Language Models