Software Suite
Software suites are collections of integrated programs designed to address specific computational tasks, encompassing diverse areas like machine learning model evaluation, API interaction testing, and robotic reinforcement learning. Current research emphasizes developing standardized benchmarks and tools for evaluating model performance across various domains, including healthcare, genomics, and multimodal data processing, often leveraging advanced architectures like large language models and transformer networks. These suites facilitate rigorous comparisons of algorithms and models, fostering reproducibility and accelerating progress in diverse scientific fields and enabling the development of more robust and reliable applications.
30papers
Papers
April 10, 2025
April 1, 2025
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition
Anthony Yazdani, Ihor Stepanov, Douglas TeodoroUniversity of Geneva●Knowledgator EngineeringSuite-IN++: A FlexiWear BodyNet Integrating Global and Local Motion Features from Apple Suite for Robust Inertial Navigation
Lan Sun, Songpengcheng Xia, Jiarui Yang, Ling PeiShanghai Jiao Tong University
September 23, 2024
September 11, 2024
August 12, 2024