activity
20142024
most citedTraining a Multilingual Sportscaster: Using Perceptual Context to Learn Language

95 citations · 112 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO20241 cited

Natural Language Can Help Bridge the Sim2Real Gap

Albert Yu, Adeline Foote, Raymond Mooney +1

The main challenge in learning image-conditioned robotic policies is acquiring a visual representation conducive to low-level control. Due to the high dimensionality of the image s…

cs.RO2024

A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings

Vanya Cohen, Jason Xinyu Liu, Raymond Mooney +2

With large language models, robots can understand language more flexibly and more capable than ever before. This survey reviews and situates recent literature into a spectrum with…

cs.CL20241 cited

Multimodal Contextualized Semantic Parsing from Speech

Jordan Voas, Raymond Mooney, David Harwath

We introduce Semantic Parsing in Contextual Environments (SPICE), a task designed to enhance artificial agents' contextual awareness by integrating multimodal inputs with prior con…

cs.CL2024

Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community

Casey Kennington, Malihe Alikhani, Heather Pon-Barry +20

The ability to interact with machines using natural human language is becoming not just commonplace, but expected. The next step is not just text interfaces, but speech interfaces…

cs.IR20248 cited

Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval

Priyanka Mandikal, Raymond Mooney

Traditional information retrieval is based on sparse bag-of-words vector representations of documents and queries. More recent deep-learning approaches have used dense embeddings l…

cs.CL20231 cited

Explaining Competitive-Level Programming Solutions using LLMs

Jierui Li, Szymon Tworkowski, Yingying Wu +1

In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate n…