Search Results for author: Ray Mooney

Found 3 papers, 0 papers with code

CAPE: Corrective Actions from Precondition Errors using Large Language Models

no code implementations17 Nov 2022 Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Ray Mooney, Stefanie Tellex, David Paulius

Our improvements transfer to a Boston Dynamics Spot robot initialized with a set of skills (specified in language) and associated preconditions, where CAPE improves the correctness metric of the executed task plans by 76. 49% compared to SayCan.

Common Sense Reasoning Language Modelling +1

Breaking Down Questions for Outside-Knowledge VQA

no code implementations29 Sep 2021 Jialin Wu, Ray Mooney

While general Visual Question Answering (VQA) focuses on querying visual content within an image, there is a recent trend towards Knowledge-Based VQA (KB-VQA) where a system needs to link some aspects of the question to different types of knowledge beyond the image, such as commonsense concepts and factual information.

Question Answering Visual Question Answering

Leveraging Class Hierarchy for Code Comprehension

no code implementations NeurIPS Workshop CAP 2020 Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Li, Ray Mooney, Milos Gligoric

Object-oriented programming languages enable a hierarchical class structure, which provides rich contextual information to guide code comprehension and synthesis.

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