20 citations · 28 across the 5 of their papers we have counts for
5 papers
SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence
Jie Jiang, Haining Xie, Siqi Shen +12
With the proliferation of Large Language Models (LLMs) in Business Intelligence (BI), existing solutions face critical challenges in industrial deployments: functionality deficienc…
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
Wenqi Shao, Meng Lei, Yutao Hu +8
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated significant progress in tackling complex multimodal tasks. Among these cutting-edge developments, Goog…
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Peng Xu, Wenqi Shao, Kaipeng Zhang +7
Large Vision-Language Models (LVLMs) have recently played a dominant role in multimodal vision-language learning. Despite the great success, it lacks a holistic evaluation of their…
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
AnLan Sun, Zhao Zhang, Meng Lei +3
Breast ultrasound videos contain richer information than ultrasound images, therefore it is more meaningful to develop video models for this diagnosis task. However, the collection…
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
Haiyang Wang, Chen Shi, Shaoshuai Shi +5
Designing an efficient yet deployment-friendly 3D backbone to handle sparse point clouds is a fundamental problem in 3D perception. Compared with the customized sparse convolution,…