10 citations · 31 across the 11 of their papers we have counts for
12 papers
OD-MoE: On-Demand Expert Loading for Cacheless Edge-Distributed MoE Inference
Liujianfu Wang, Yuyang Du, Yuchen Pan +3
Mixture-of-Experts (MoE), while offering significant advantages as a Large Language Model (LLM) architecture, faces substantial challenges when deployed on low-cost edge devices wi…
KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning
Xilin Dang, Kexin Chen, Xiaorui Su +7
In clinical practice, physicians refrain from making decisions when patient information is insufficient. This behavior, known as abstention, is a critical safety mechanism preventi…
IndusGCC: A Data Benchmark and Evaluation Framework for GUI-Based General Computer Control in Industrial Automation
Xiaoran Yang, Yuyang Du, Kexin Chen +14
As Industry 4.0 progresses, flexible manufacturing has become a cornerstone of modern industrial systems, with equipment automation playing a pivotal role. However, existing contro…
VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair
Haomin Qi, Yuyang Du, Lihao Zhang +3
Large language models (LLMs) have demonstrated immense potential in computer-aided design (CAD), particularly for automated debugging and verification within electronic design auto…
Cellular-X: An LLM-empowered Cellular Agent for Efficient Base Station Operations
Liujianfu Wang, Xinyi Long, Yuyang Du +3
This paper introduces Cellular-X, an LLM-powered agent designed to automate cellular base station (BS) maintenance. Leveraging multimodal LLM and retrieval-augmented generation (RA…
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?
Yiyi Zhang, Xingyu Chen, Kexin Chen +3
Recent years have witnessed extensive efforts to enhance Large Language Models (LLMs) across various domains, alongside growing attention to their ethical implications. However, a…
Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
Liujianfu Wang, Yuyang Du, Jingqi Lin +2
Large language models (LLMs) are being widely researched across various disciplines, with significant recent efforts focusing on adapting LLMs for understanding of how communicatio…
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Feifan Zhang, Yuyang Du, Kexin Chen +2
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) mo…
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Yuyang Du, Kexin Chen, Yue Zhan +7
Visual question answering (VQA) is crucial for promoting surgical education. In practice, the needs of trainees are constantly evolving, such as learning more surgical types, adapt…
ChemMiner: A Large Language Model Agent System for Chemical Literature Data Mining
Kexin Chen, Yuyang Du, Junyou Li +7
The development of AI-assisted chemical synthesis tools requires comprehensive datasets covering diverse reaction types, yet current high-throughput experimental (HTE) approaches a…
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Kexin Chen, Jiamin Lu, Junyou Li +12
Recent AI research plots a promising future of automatic chemical reactions within the chemistry society. This study proposes Chemist-X, a comprehensive AI agent that automates the…
The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms
Yuyang Du, Hongyu Deng, Soung Chang Liew +3
Large language models (LLMs) have garnered significant attention across various research disciplines, including the wireless communication community. There have been several heated…