output
20122025
most citedA Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories

97 citations

29 papers

eess.SP2025

Autoencoding Coordinate Sequences from Psychophysiologic Signals

Timothy L. Hutcheson, Anil K. Raj

We present a method for converting 24 channels of psychophysiologic time series data collected from individual participants via electroencephalogram (EEG), electrocardiogram (ECG),…

cs.CV2025

Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense

Kyle Stein, Andrew A. Mahyari, Guillermo Francia +1

Deep neural networks (DNNs) and generative AI (GenAI) are increasingly vulnerable to backdoor attacks, where adversaries embed triggers into inputs to cause models to misclassify o…

cs.CL2024

DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection

Sangpil Youm, Brodie Mather, Chathuri Jayaweera +2

Semantic role labeling (SRL) enriches many downstream applications, e.g., machine translation, question answering, summarization, and stance/belief detection. However, building mul…

cs.RO2024★ 8 cited

SeePerSea: Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles

Mingi Jeong, Arihant Chadda, Ziang Ren +8

This paper introduces the first publicly accessible labeled multi-modal perception dataset for autonomous maritime navigation, focusing on in-water obstacles within the aquatic env…

cs.CL2024★ 1 cited

UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies

Leonie Weissweiler, Nina Böbel, Kirian Guiller +11

The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full…

cs.RO2024★ 7 cited

Morphological Symmetries in Robotics

Daniel Ordoñez-Apraez, Giulio Turrisi, Vladimir Kostic +6

We present a comprehensive framework for studying and leveraging morphological symmetries in robotic systems. These are intrinsic properties of the robot's morphology, frequently o…