Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Lee, Nicholas P."'
Autor:
Cho, Cheol Jun, Lee, Nicholas, Gupta, Akshat, Agarwal, Dhruv, Chen, Ethan, Black, Alan W, Anumanchipalli, Gopala K.
Syllables are compositional units of spoken language that play a crucial role in human speech perception and production. However, current neural speech representations lack structure, resulting in dense token sequences that are costly to process. To
Externí odkaz:
http://arxiv.org/abs/2410.07168
Autor:
Siemiginowska, Aneta, Burke, Douglas, Günther, Hans Moritz, Lee, Nicholas P., McLaughlin, Warren, Principe, David A., Cheer, Harlan, Fruscione, Antonella, Laurino, Omar, McDowell, Jonathan, Terrell, Marie
We present an overview of Sherpa, an open source Python project, and discuss its development history, broad design concepts and capabilities. Sherpa contains powerful tools for combining parametric models into complex expressions that can be fit to d
Externí odkaz:
http://arxiv.org/abs/2409.10400
Autor:
Erdogan, Lutfi Eren, Lee, Nicholas, Jha, Siddharth, Kim, Sehoon, Tabrizi, Ryan, Moon, Suhong, Hooper, Coleman, Anumanchipalli, Gopala, Keutzer, Kurt, Gholami, Amir
Recent large language models (LLMs) have enabled the development of advanced agentic systems that can integrate various tools and APIs to fulfill user queries through function calling. However, the deployment of these LLMs on the edge has not been ex
Externí odkaz:
http://arxiv.org/abs/2409.00608
Autor:
Lee, Nicholas, Wattanawong, Thanakul, Kim, Sehoon, Mangalam, Karttikeya, Shen, Sheng, Anumanchipalli, Gopala, Mahoney, Michael W., Keutzer, Kurt, Gholami, Amir
Pretrained large language models (LLMs) are currently state-of-the-art for solving the vast majority of natural language processing tasks. While many real-world applications still require fine-tuning to reach satisfactory levels of performance, many
Externí odkaz:
http://arxiv.org/abs/2403.15042
Properly spin-adapted coupled-cluster theory for general open-shell configurations remains an active area of research in electronic structure theory. In this contribution we examine Lindgren's normal-ordered exponential ansatz to correlate specific s
Externí odkaz:
http://arxiv.org/abs/2403.05389
Molecular orbital theory is powerful both as a conceptual tool for understanding chemical bonding, and as a theoretical framework for ab initio quantum chemistry. Despite its undoubted success, MO theory has well documented shortcomings, most notably
Externí odkaz:
http://arxiv.org/abs/2402.08858
Autor:
Kim, Sehoon, Moon, Suhong, Tabrizi, Ryan, Lee, Nicholas, Mahoney, Michael W., Keutzer, Kurt, Gholami, Amir
The reasoning capabilities of the recent LLMs enable them to execute external function calls to overcome their inherent limitations, such as knowledge cutoffs, poor arithmetic skills, or lack of access to private data. This development has allowed LL
Externí odkaz:
http://arxiv.org/abs/2312.04511
Autor:
Sheng, Ying, Cao, Shiyi, Li, Dacheng, Hooper, Coleman, Lee, Nicholas, Yang, Shuo, Chou, Christopher, Zhu, Banghua, Zheng, Lianmin, Keutzer, Kurt, Gonzalez, Joseph E., Stoica, Ion
The "pretrain-then-finetune" paradigm is commonly adopted in the deployment of large language models. Low-Rank Adaptation (LoRA), a parameter-efficient fine-tuning method, is often employed to adapt a base model to a multitude of tasks, resulting in
Externí odkaz:
http://arxiv.org/abs/2311.03285
Autor:
Levitas, Daniel, Hayashi, Soichi, Vinci-Booher, Sophia, Heinsfeld, Anibal, Bhatia, Dheeraj, Lee, Nicholas, Galassi, Anthony, Niso, Guiomar, Pestilli, Franco
Data standardization has become one of the leading methods neuroimaging researchers rely on for data sharing and reproducibility. Data standardization promotes a common framework through which researchers can utilize others' data. Yet, as of today, f
Externí odkaz:
http://arxiv.org/abs/2311.04912
Autor:
Lee, Nicholas, Thom, Alex J. W.
We investigate the possibility of using a transcorrelated Hamiltonian to describe electron correlation. Amethod to obtain transcorrelatedwavefunctionswas developed based on the mathematical framework of the bi-variational principle. This involves the
Externí odkaz:
http://arxiv.org/abs/2301.02590