2 citations · 3 across the 8 of their papers we have counts for
4 papers · 2 filters
CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation
Jia-Chen Zhang, Zheng Zhou, Yu-Jie Xiong +2
Training data has been proven to be one of the most critical components in training generative AI. However, obtaining high-quality data remains challenging, with data privacy issue…
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
Jia-Chen Zhang, Yu-Jie Xiong, Chun-Ming Xia +2
Large language model (LLM) is considered a milestone towards achieving Artificial General Intelligence (AGI). With its advanced emergent capabilities, it adapt to a wide range of s…
Mixture of Routers
Jia-Chen Zhang, Yu-Jie Xiong, Xi-He Qiu +3
Supervised fine-tuning (SFT) is a milestone in aligning large language models with human instructions and adapting them to downstream tasks. In particular, Low-Rank Adaptation (LoR…
Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting
Dong-Hai Zhu, Yu-Jie Xiong, Jia-Chen Zhang +2
Chain-of-Thought (CoT) Prompting is a dominant paradigm in Large Language Models (LLMs) to enhance complex reasoning. It guides LLMs to present multi-step reasoning, rather than ge…