Hypothesis Search: Inductive Reasoning with Language Models

no code implementations • 11 Sep 2023 • Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman

Because of the prohibitive cost of generation with state-of-the-art LLMs, we consider a middle step to filter the set of hypotheses that will be implemented into programs: we either ask the LLM to summarize into a smaller set of hypotheses, or ask human annotators to select a subset of the hypotheses.

In-Context Learning

IKEA-Manual: Seeing Shape Assembly Step by Step

no code implementations • 3 Feb 2023 • Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Ran Zhang, Chin-Yi Cheng, Jiajun Wu

Human-designed visual manuals are crucial components in shape assembly activities.

3D Assembly Pose Estimation +1

Translating a Visual LEGO Manual to a Machine-Executable Plan

no code implementations • 25 Jul 2022 • Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu

We study the problem of translating an image-based, step-by-step assembly manual created by human designers into machine-interpretable instructions.

3D Pose Estimation Keypoint Detection

Language-Mediated, Object-Centric Representation Learning

no code implementations • Findings (ACL) 2021 • Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu

These object-centric concepts derived from language facilitate the learning of object-centric representations.

Object Object Discovery +5

On the Relative Expressiveness of Bayesian and Neural Networks

no code implementations • 21 Dec 2018 • Arthur Choi, Ruocheng Wang, Adnan Darwiche

A neural network computes a function.