3 papers
cs.LG2026
Dictionary-Aligned Concept Control for Safeguarding Multimodal LLMs
Jinqi Luo, Jinyu Yang, Tal Neiman +5
Multimodal Large Language Models (MLLMs) have been shown to be vulnerable to malicious queries that can elicit unsafe responses. Recent work uses prompt engineering, response class…
cs.CV2025
CoLLM: A Large Language Model for Composed Image Retrieval
Chuong Huynh, Jinyu Yang, Ashish Tawari +5
Composed Image Retrieval (CIR) is a complex task that aims to retrieve images based on a multimodal query. Typical training data consists of triplets containing a reference image,…
cs.CV2024
Bringing Multimodality to Amazon Visual Search System
Xinliang Zhu, Michael Huang, Han Ding +10
Image to image matching has been well studied in the computer vision community. Previous studies mainly focus on training a deep metric learning model matching visual patterns betw…