Study Feature
Research on "Study Feature" broadly investigates the performance and limitations of various machine learning models across diverse tasks, focusing on areas like data compression, emotion recognition, remaining useful life prediction, and medical image generation. Current studies heavily utilize large language models (LLMs) and deep convolutional neural networks (CNNs), often exploring techniques like transfer learning, prompt engineering, and ensemble methods to improve model accuracy and robustness. This research is significant for advancing both fundamental understanding of model capabilities and for developing practical applications in fields ranging from healthcare and industrial maintenance to natural language processing and security.
Papers - Page 6
Isochrony-Controlled Speech-to-Text Translation: A study on translating from Sino-Tibetan to Indo-European Languages
Midia Yousefi, Yao Qian, Junkun Chen, Gang Wang, Yanqing Liu, Dongmei Wang, Xiaofei Wang, Jian XueScientific machine learning in ecological systems: A study on the predator-prey dynamics
Ranabir Devgupta, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training
Rohan Saha, Abrar Fahim, Alona Fyshe, Alex MurphyIntegrating Symbolic Neural Networks with Building Physics: A Study and Proposal
Xia Chen, Guoquan Lv, Xinwei Zhuang, Carlos Duarte, Stefano Schiavon, Philipp Geyer
A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal Studies
Yen-Hsiang Wang, Feng-Dian Su, Tzu-Yu Yeh, Yao-Chung FanHave the VLMs Lost Confidence? A Study of Sycophancy in VLMs
Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xiaohui Zhao, Tao Gui, Qi Zhang, Xuanjing Huang
Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts
Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. KaufmanNews-Driven Stock Price Forecasting in Indian Markets: A Comparative Study of Advanced Deep Learning Models
Kaushal Attaluri, Mukesh Tripathi, Srinithi Reddy, ShivendraIs Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination
Kohei Kajikawa, Yusuke Kubota, Yohei OsekiStudy on the Helpfulness of Explainable Artificial Intelligence
Tobias Labarta, Elizaveta Kulicheva, Ronja Froelian, Christian Geißler, Xenia Melman, Julian von Klitzing