3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
What Does a Safety Label Measure? Auditing Situational-Safety Benchmarks for Multimodal LLMs
Wayner Barrios, Kenneth Barrios
Situational-safety benchmarks label each scene SAFE or UNSAFE and score a multimodal large language model (MLLM) against that label, usually by judging its free-form answer, and th…
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs
Wayner Barrios, Andrés Villa, Juan León Alcázar +2
Multimodal Large Language Models (MLLMs) have achieved remarkable success in instruction-following tasks by integrating pretrained visual encoders with large language models (LLMs)…
Multi-layer Learnable Attention Mask for Multimodal Tasks
Wayner Barrios, SouYoung Jin
While the Self-Attention mechanism in the Transformer model has proven to be effective in many domains, we observe that it is less effective in more diverse settings (e.g. multimod…
FT2TF: First-Person Statement Text-To-Talking Face Generation
Xingjian Diao, Ming Cheng, Wayner Barrios +1
Talking face generation has gained immense popularity in the computer vision community, with various applications including AR, VR, teleconferencing, digital assistants, and avatar…