1 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning
Eileen Wang, Caren Han, Josiah Poon
Video Paragraph Captioning (VPC) aims to generate paragraph captions that summarises key events within a video. Despite recent advancements, challenges persist, notably in effectiv…
ChuLo: Chunk-Level Key Information Representation for Long Document Understanding
Yan Li, Soyeon Caren Han, Yue Dai +1
Transformer-based models have achieved remarkable success in various Natural Language Processing (NLP) tasks, yet their ability to handle long documents is constrained by computati…
Text-guided 3D Human Motion Generation with Keyframe-based Parallel Skip Transformer
Zichen Geng, Caren Han, Zeeshan Hayder +3
Text-driven human motion generation is an emerging task in animation and humanoid robot design. Existing algorithms directly generate the full sequence which is computationally exp…
An Analysis of Deep Reinforcement Learning Agents for Text-based Games
Chen Chen, Yue Dai, Josiah Poon +1
Text-based games(TBG) are complex environments which allow users or computer agents to make textual interactions and achieve game goals.In TBG agent design and training process, ba…