26 citations · 28 across the 6 of their papers we have counts for
7 papers
Curvature-Guided Mixing for MLLM Adaptation
Jinglong Yang, Jiaxuan He, Wenjian Huang +2
Fine-tuning Multimodal Large Language Models (MLLMs) on specialized tasks often leads to catastrophic forgetting of their general capabilities. Existing model merging methods to co…
Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptation
Jiaxu He, Chao Wang, Jie Lian +4
Tibetan text-to-speech (TTS) has long been challenged by scarce speech resources, significant dialectal variation, and the complex mapping between written text and spoken pronuncia…
Intelligent Approval of Access Control Flow in Office Automation Systems via Relational Modeling
Dugang Liu, Zulong Chen, Chuanfei Xu +3
Office automation (OA) systems play a crucial role in enterprise operations and management, with access control flow approval (ACFA) being a key component that manages the accessib…
BenCao: An Instruction-Tuned Large Language Model for Traditional Chinese Medicine
Jiacheng Xie, Yang Yu, Yibo Chen +7
Traditional Chinese Medicine (TCM), with a history spanning over two millennia, plays a role in global healthcare. However, applying large language models (LLMs) to TCM remains cha…
Towards Human-Like Grading: A Unified LLM-Enhanced Framework for Subjective Question Evaluation
Fanwei Zhua, Jiaxuan He, Xiaoxiao Chen +3
Automatic grading of subjective questions remains a significant challenge in examination assessment due to the diversity in question formats and the open-ended nature of student re…
TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
Jiacheng Xie, Yang Yu, Ziyang Zhang +9
Traditional Chinese Medicine (TCM), as an effective alternative medicine, has been receiving increasing attention. In recent years, the rapid development of large language models (…
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai, Songlong Xing, Jiaxuan He +2
In this paper, we study the task of multimodal sequence analysis which aims to draw inferences from visual, language and acoustic sequences. A majority of existing works generally…