most citedSCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20242 cited

SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus

Stephanie M. Lukin, Claire Bonial, Matthew Marge +14

We introduce the Situated Corpus Of Understanding Transactions (SCOUT), a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration. The corpus…

cs.HC2024

Human-Robot Dialogue Annotation for Multi-Modal Common Ground

Claire Bonial, Stephanie M. Lukin, Mitchell Abrams +11

In this paper, we describe the development of symbolic representations annotated on human-robot dialogue data to make dimensions of meaning accessible to autonomous systems partici…

cs.CV2024

ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis

Muhammad Hamza Mughal, Rishabh Dabral, Ikhsanul Habibie +3

Gestures play a key role in human communication. Recent methods for co-speech gesture generation, while managing to generate beat-aligned motions, struggle generating gestures that…

cs.CL2023

Cultural Adaptation of Recipes

Yong Cao, Yova Kementchedjhieva, Ruixiang Cui +5

Building upon the considerable advances in Large Language Models (LLMs), we are now equipped to address more sophisticated tasks demanding a nuanced understanding of cross-cultural…

cs.CL2023

SLOG: A Structural Generalization Benchmark for Semantic Parsing

Bingzhi Li, Lucia Donatelli, Alexander Koller +3

The goal of compositional generalization benchmarks is to evaluate how well models generalize to new complex linguistic expressions. Existing benchmarks often focus on lexical gene…