Search Results for author:
Found 5 papers, 2 papers with code
FL-NAS: Towards Fairness of NAS for Resource Constrained Devices via Large Language Models
Neural Architecture Search (NAS) has become the de fecto tools in the industry in automating the design of deep neural networks for various applications, especially those driven by mobile and edge devices with limited computing resources.
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis
While it is possible to obtain annotation locally by directly asking users to provide preferred responses, such annotations have to be sparse to not affect user experience.
When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs
Interestingly, we find that the transformer PLMs tend to score GPT-generated text 10-15\% higher on average, relative to human-authored documents.
IBERT: Idiom Cloze-style reading comprehension with Attention
In this paper, we proposed a BERT-based embedding Seq2Seq model that encodes idiomatic expressions and considers them in both global and local context.
Open-Ended Multi-Modal Relational Reasoning for Video Question Answering
In this paper, we introduce a robotic agent specifically designed to analyze external environments and address participants' questions.
