1 code implementation • 5 Mar 2024 • Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo
Recent advancements in large language models (LLMs) have underscored their importance in the evolution of artificial intelligence.
no code implementations • 12 Jan 2024 • Gantavya Bhatt, Yifang Chen, Arnav M. Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
To mitigate the annotation cost of SFT and circumvent the computational bottlenecks of active learning, we propose using experimental design.
no code implementations • NeurIPS 2023 • Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
Yet, while the literature on the trustworthiness of GPT models remains limited, practitioners have proposed employing capable GPT models for sensitive applications such as healthcare and finance -- where mistakes can be costly.
1 code implementation • 6 Dec 2022 • Martin Vögele, Neil J. Thomson, Sang T. Truong, Jasper McAvity, Ulrich Zachariae, Ron O. Dror
PENSA implements various methods to systematically compare the distributions of these features across ensembles to find the significant differences between them and identify regions of interest.
no code implementations • 28 Jun 2022 • Trong Duong, Sang T. Truong, Minh Tam, Bao Bach, Ju-Young Ryu, June-Koo Kevin Rhee
Quantum neural networks are promising for a wide range of applications in the Noisy Intermediate-Scale Quantum era.
no code implementations • 27 Jun 2022 • Tung Nguyen, Sang T. Truong, Jeffrey Uhlmann
In this paper we provide a latent-variable formulation and solution to the recommender system (RS) problem in terms of a fundamental property that any reasonable solution should be expected to satisfy.