1 citations · 2 across the 8 of their papers we have counts for
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IMPLICIT-Bench: Stereotyped Defaults and Prompt Following in Text-to-Image Generation
Yue Dai, Ziyang Liu, Marc Cheong +1
Text-to-image (T2I) models often produce stereotypical images when stereotype-relevant attributes are left unspecified. We ask whether explicit requests can overcome these defaults…
Location-Aware Pretraining for Medical Difference Visual Question Answering
Denis Musinguzi, Caren Han, Prasenjit Mitra
Differential medical VQA models compare multiple images to identify clinically meaningful changes and rely on vision encoders to capture fine-grained visual differences that reflec…
MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Contextual Reasoning
Eileen Wang, Hiba Arnaout, Dhita Pratama +6
We present MMCOMET, the first multimodal commonsense knowledge graph (MMKG) that integrates physical, social, and eventive knowledge. MMCOMET extends the ATOMIC2020 knowledge graph…
FiLoRA: Focus-and-Ignore LoRA for Controllable Feature Reliance
Hyunsuk Chung, Soyeon Caren Han, Seungyeon Ji +3
Multimodal foundation models integrate heterogeneous signals across modalities, yet it remains unclear whether their predictions can be controlled by explicitly modulating reliance…