34 citations · 41 across the 5 of their papers we have counts for
5 papers
Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models
Fangkai Jiao, Bosheng Ding, Tianze Luo +1
This project focuses on enhancing open-source large language models through instruction-tuning and providing comprehensive evaluations of their performance. We explore how various…
Fast Graph Generation via Spectral Diffusion
Tianze Luo, Zhanfeng Mo, Sinno Jialin Pan
Generating graph-structured data is a challenging problem, which requires learning the underlying distribution of graphs. Various models such as graph VAE, graph GANs, and graph di…
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long, Tianze Luo, Wenya Wang +1
In this work, we study Unsupervised Domain Adaptation (UDA) in a challenging self-supervised approach. One of the difficulties is how to learn task discrimination in the absence of…
Domain-Augmented Domain Adaptation
Qiuhao Zeng, Tianze Luo, Boyu Wang
Unsupervised domain adaptation (UDA) enables knowledge transfer from the labelled source domain to the unlabeled target domain by reducing the cross-domain discrepancy. However, mo…
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System
Qi Hao, Tianze Luo, Guangda Huzhang
The homepage recommendation on most E-commerce applications places items in a hierarchical manner, where different channels display items in different styles. Existing algorithms u…