3 papers
cs.IR2025
VL-CLIP: Enhancing Multimodal Recommendations via Visual Grounding and LLM-Augmented CLIP Embeddings
Ramin Giahi, Kehui Yao, Sriram Kollipara +6
Multimodal learning plays a critical role in e-commerce recommendation platforms today, enabling accurate recommendations and product understanding. However, existing vision-langua…
cs.IR2024
Character-based Outfit Generation with Vision-augmented Style Extraction via LLMs
Najmeh Forouzandehmehr, Yijie Cao, Nikhil Thakurdesai +6
The outfit generation problem involves recommending a complete outfit to a user based on their interests. Existing approaches focus on recommending items based on anchor items or s…
cs.DB2023
LLMs with User-defined Prompts as Generic Data Operators for Reliable Data Processing
Luyi Ma, Nikhil Thakurdesai, Jiao Chen +4
Data processing is one of the fundamental steps in machine learning pipelines to ensure data quality. Majority of the applications consider the user-defined function (UDF) design p…