How Can Large Language Models Help Humans in Design and Manufacturing?

no code implementations • 25 Jul 2023 • Liane Makatura, Michael Foshey, Bohan Wang, Felix HähnLein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design.

Neurosymbolic Programming for Science

no code implementations • 10 Oct 2022 • Jennifer J. Sun, Megan Tjandrasuwita, Atharva Sehgal, Armando Solar-Lezama, Swarat Chaudhuri, Yisong Yue, Omar Costilla-Reyes

Neurosymbolic Programming (NP) techniques have the potential to accelerate scientific discovery.

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

1 code implementation • 30 Jun 2022 • Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosič, Jure Leskovec

In this work, we introduce Zero-shot Concept Recognition and Acquisition (ZeroC), a neuro-symbolic architecture that can recognize and acquire novel concepts in a zero-shot way.

Novel Concepts

Interpreting Expert Annotation Differences in Animal Behavior

no code implementations • 11 Jun 2021 • Megan Tjandrasuwita, Jennifer J. Sun, Ann Kennedy, Swarat Chaudhuri, Yisong Yue

Hand-annotated data can vary due to factors such as subjective differences, intra-rater variability, and differing annotator expertise.

Program Synthesis