Zobrazeno 1 - 10
of 31 760
pro vyhledávání: '"Xiao Yang"'
Autor:
Wang, Dannong, Kim, Daniel, Jin, Bo, Zhao, Xingjian, Fu, Tianfan, Yang, Steve, Liu, Xiao-Yang
Finetuned large language models (LLMs) have shown remarkable performance in financial tasks, such as sentiment analysis and information retrieval. Due to privacy concerns, finetuning and deploying Financial LLMs (FinLLMs) locally are crucial for inst
Externí odkaz:
http://arxiv.org/abs/2412.11378
Autor:
Wang, Keyi, Patel, Jaisal, Shen, Charlie, Kim, Daniel, Zhu, Andy, Lin, Alex, Borella, Luca, Osborne, Cailean, White, Matt, Yang, Steve, Yanglet, Kairong Xiao Xiao-Yang Liu
Financial large language models (FinLLMs) have been applied to various tasks in business, finance, accounting, and auditing. Complex financial regulations and standards are critical to financial services, which LLMs must comply with. However, FinLLMs
Externí odkaz:
http://arxiv.org/abs/2412.11159
Autor:
Athron, Peter, Balazs, Csaba, Fowlie, Andrew, Morris, Lachlan, Searle, William, Xiao, Yang, Zhang, Yang
In recent years, the prospect of detecting gravitational waves sourced from a strongly first-order cosmological phase transition has emerged as one of the most exciting frontiers of gravitational wave astronomy. Cosmological phase transitions are an
Externí odkaz:
http://arxiv.org/abs/2412.04881
Autor:
Xiao, Yang, Das, Rohan Kumar
Transformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive. Therefore, one novel selective state space model, Mamba, has been proposed as an altern
Externí odkaz:
http://arxiv.org/abs/2411.10027
The dynamical Casimir effect (DCE) describes the energy conversion from a mechanical motion to the electromagnetic fields. When the mechanical oscillator is in a mechanically excited state, the free evolution due to the DCE produces radiation in the
Externí odkaz:
http://arxiv.org/abs/2411.03719
Sound Event Detection (SED) is challenging in noisy environments where overlapping sounds obscure target events. Language-queried audio source separation (LASS) aims to isolate the target sound events from a noisy clip. However, this approach can fai
Externí odkaz:
http://arxiv.org/abs/2411.01174
We derived here the factor $\Upsilon$, which quantifies how the gravitational wave spectrum generated by sound waves in the radiation sector grows over time, in a universe with a generic expanding rate set by another dominant energy content. When the
Externí odkaz:
http://arxiv.org/abs/2410.23666
Autor:
Tian, Felix, Byadgi, Ajay, Kim, Daniel, Zha, Daochen, White, Matt, Xiao, Kairong, Yanglet, Xiao-Yang Liu
Publikováno v:
5th ACM International Conference on AI in Finance, 2024
Current large language models (LLMs) have proven useful for analyzing financial data, but most existing models, such as BloombergGPT and FinGPT, lack customization for specific user needs. In this paper, we address this gap by developing FinGPT Searc
Externí odkaz:
http://arxiv.org/abs/2410.15284
As large language models (LLMs) continue to advance, ensuring their alignment with human values becomes increasingly critical. Traditional alignment methods heavily rely on human feedback to fine-tune models. With the emergence of superhuman models w
Externí odkaz:
http://arxiv.org/abs/2410.12621
Asynchronous radio transceivers often lead to significant range and velocity ambiguity, posing challenges for precise positioning and velocity estimation in passive-sensing perceptive mobile networks (PMNs). To address this issue, carrier frequency o
Externí odkaz:
http://arxiv.org/abs/2410.10134