1 citations · 1 across the 5 of their papers we have counts for
5 papers
SAILRec: Steering LLM Attention to Dual-Side Semantically Aligned Collaborative Embeddings for Recommendation
Xi Wu, Jiale Wang, Zihan Wang +5
Recent LLM-based recommenders enhance language models with collaborative embeddings from user-item interactions, but making such embeddings available does not ensure their proper u…
Phoenix-VL 1.5 Medium Technical Report
Team Phoenix, :, Arka Ray +29
We introduce Phoenix-VL 1.5 Medium, a 123B-parameter natively multimodal and multilingual foundation model, adapted to regional languages and the Singapore context. Developed as a…
QMAVIS: Long Video-Audio Understanding using Fusion of Large Multimodal Models
Zixing Lin, Jiale Wang, Gee Wah Ng +4
Large Multimodal Models (LMMs) for video-audio understanding have traditionally been evaluated only on shorter videos of a few minutes long. In this paper, we introduce QMAVIS (Q T…
QCaption: Video Captioning and Q&A through Fusion of Large Multimodal Models
Jiale Wang, Gee Wah Ng, Lee Onn Mak +3
This paper introduces QCaption, a novel video captioning and Q&A pipeline that enhances video analytics by fusing three models: key frame extraction, a Large Multimodal Model (LMM)…
PartialFormer: Modeling Part Instead of Whole for Machine Translation
Tong Zheng, Bei Li, Huiwen Bao +4
The design choices in Transformer feed-forward neural networks have resulted in significant computational and parameter overhead. In this work, we emphasize the importance of hidde…