1 citations · 1 across the 3 of their papers we have counts for
4 papers
Heterogeneity-Aware Dataset Scheduling for Efficient Audio Large Language Model Training
Yanru Wu, Jianning Wang, Chongxin Gan +1
Training general-purpose Audio Large Language Models (ALLMs) across diverse datasets is essential for holistic audio understanding, yet it faces significant challenges due to datas…
Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
Yanru Wu, Jianning Wang, Xiangyu Chen +4
Continual learning (CL) has been a critical topic in contemporary deep neural network applications, where higher levels of both forward and backward transfer are desirable for an e…
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu, Jianning Wang, Weida Wang +1
Multi-source transfer learning is an effective solution to data scarcity by utilizing multiple source tasks for the learning of the target task. However, access to source data and…
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model
Ziao Wang, Jianning Wang, Junda Wu +1
At the beginning era of large language model, it is quite critical to generate a high-quality financial dataset to fine-tune a large language model for financial related tasks. Thu…