6 papers
MARS: Multi-Agent Re-ranking for Repeat-Order Food Delivery Recommendation
Jiahao Tian, Zhenkai Wang
Large language models (LLMs) are increasingly used in recommender systems, but it is often unclear how much performance can be obtained from strong pre-trained backbones alone when…
Head Forcing: Long Autoregressive Video Generation via Head Heterogeneity
Jiahao Tian, Yiwei Wang, Gang Yu +1
Autoregressive video diffusion models support real-time synthesis but suffer from error accumulation and context loss over long horizons. We discover that attention heads in AR vid…
Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction
Jiahao Tian, Chenxi Song, Wei Cheng +1
Generating long videos using pre-trained video diffusion models, which are typically trained on short clips, presents a significant challenge. Directly applying these models for lo…
DLRREC: Denoising Latent Representations via Multi-Modal Knowledge Fusion in Deep Recommender Systems
Jiahao Tian, Zhenkai Wang
Modern recommender systems struggle to effectively utilize the rich, yet high-dimensional and noisy, multi-modal features generated by Large Language Models (LLMs). Treating these…
Data Imputation using Large Language Model to Accelerate Recommendation System
Zhicheng Ding, Jiahao Tian, Zhenkai Wang +2
This paper aims to address the challenge of sparse and missing data in recommendation systems, a significant hurdle in the age of big data. Traditional imputation methods struggle…
MMREC: LLM Based Multi-Modal Recommender System
Jiahao Tian, Jinman Zhao, Zhenkai Wang +1
The importance of recommender systems is growing rapidly due to the exponential increase in the volume of content generated daily. This surge in content presents unique challenges…