Abstract: Due to the scarcity of high-quality data, the employment of Federated Learning (FL) for the fine-tuning task of Large Language Models (LLMs) has turned into a research hotspot. However, the ...

Abstract: With advancements in natural language processing, deep learning models have been widely applied to diverse classification tasks. Although pre-trained models like BERT demonstrate exceptional ...

Ho Chi Minh City University of Technology, Ho Chi Minh City University of Social Sciences and Humanities, and the University of Health Sciences under the Vietnam National University Ho Chi Minh City ...

Existing Vision-Language Navigation (VLN) methods primarily focus on single-stage navigation, limiting their effectiveness in multi-stage and long-horizon tasks within complex and dynamic environments ...

Now the naysayers can keep quiet about his education. Earlier this month, Carson Beck opened his mouth and revealed something crazy to ESPN. The quarterback praised the Hurricanes for their commitment ...

Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier ‘random’ answer has nothing to do with ...

This video discusses whether it is possible to learn a language without using one of the most common study methods. It looks at different learning strategies, compares traditional approaches with ...

Objective: In this study we investigated the benefits of fine tuning with supervised fine tuning (SFT) and direct preference optimization (DPO) across a range of LLM applications for medicine Methods: ...

“Best love to T-ara, the K-pop group accompanying me to grow up.” [October 17th, 2025] We open-source the complete code of the T-araVLN method, and provide the corresponding guidance to set up.

Developing intentional skills should not feel like a chore on top of academics, especially for those who might have additional obligations outside of school. But that does not have to be a barrier in ...