8 citations · 11 across the 18 of their papers we have counts for
6 papers · 1 filter
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling
Yakun Zhu, Shaohang Wei, Xu Wang +3
Integrating tools into Large Language Models (LLMs) has facilitated the widespread application. Despite this, in specialized downstream task contexts, reliance solely on tools is i…
MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens
Yongqi Fan, Hongli Sun, Kui Xue +3
Numerous advanced Large Language Models (LLMs) now support context lengths up to 128K, and some extend to 200K. Some benchmarks in the generic domain have also followed up on evalu…
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
Zhongzhen Huang, Kui Xue, Yongqi Fan +5
Large-scale language models (LLMs) have achieved remarkable success across various language tasks but suffer from hallucinations and temporal misalignment. To mitigate these shortc…
Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Ray
Qiao Deng, Zhongzhen Huang, Yunqi Wang +6
Medical foundation models have the potential to revolutionize healthcare by providing robust and generalized representations of medical data. Medical vision-language pre-training h…
Modality-Aware and Shift Mixer for Multi-modal Brain Tumor Segmentation
Zhongzhen Huang, Linda Wei, Shaoting Zhang +1
Combining images from multi-modalities is beneficial to explore various information in computer vision, especially in the medical domain. As an essential part of clinical diagnosis…
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine
Xiaosong Wang, Xiaofan Zhang, Guotai Wang +17
The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and Gemini, has reshaped the landscape of research (academia and industry) in machine learning and…