23 citations · 33 across the 12 of their papers we have counts for
4 papers · 1 filter
MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Visual Reasoning
Jinwoo Kim, Eileen Wang, Hiba Arnaout +13
Commonsense knowledge is widely used to support multimodal reasoning and generation, yet existing resources are predominantly text-only and lack grounding in visual context. This l…
Testing the Utility of Using Large Language Models to Create Personalized Networks From Therapy Session Transcripts: A Proof of Concept Study
Clarissa W. Ong, Hiba Arnaout, Kate Sheehan +3
Recent advances in psychotherapy have focused on treatment personalization, such as by selecting treatment modules based on individual networks. However, estimating personalized ne…
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
Simon Razniewski, Hiba Arnaout, Shrestha Ghosh +1
General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many of them are constructed pragmatically from Web sources, and are thus far from complete. This p…
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
Hiba Arnaout, Simon Razniewski, Gerhard Weikum +1
Commonsense knowledge about everyday concepts is an important asset for AI applications, such as question answering and chatbots. Recently, we have seen an increasing interest in t…