Zobrazeno 1 - 10
of 9 501
pro vyhledávání: '"jin, Han"'
Autor:
Hu, Zijian, Zhang, Jipeng, Pan, Rui, Xu, Zhaozhuo, Han, Shanshan, Jin, Han, Shah, Alay Dilipbhai, Stripelis, Dimitris, Yao, Yuhang, Avestimehr, Salman, He, Chaoyang, Zhang, Tong
We present Fox-1, a series of small language models (SLMs) consisting of Fox-1-1.6B and Fox-1-1.6B-Instruct-v0.1. These models are pre-trained on 3 trillion tokens of web-scraped document data and fine-tuned with 5 billion tokens of instruction-follo
Externí odkaz:
http://arxiv.org/abs/2411.05281
Autor:
Ran, Yide, Xu, Zhaozhuo, Yao, Yuhang, Hu, Zijian, Han, Shanshan, Jin, Han, Shah, Alay Dilipbhai, Zhang, Jipeng, Stripelis, Dimitris, Zhang, Tong, Avestimehr, Salman, He, Chaoyang
The rapid advancement of Large Language Models (LLMs) has led to their increased integration into mobile devices for personalized assistance, which enables LLMs to call external API functions to enhance their performance. However, challenges such as
Externí odkaz:
http://arxiv.org/abs/2411.05209
Autor:
Li, Peiyang, Xie, Jin-Han
We study a two-dimensional isotropic rotating system and obtain both theoretically and numerically a $K^{-2}$ energy spectrum under the rapidly rotating condition ($Ro\ll 1$), which was initially obtained by Zeman (1994) and Zhou (1995). In rotating
Externí odkaz:
http://arxiv.org/abs/2408.15106
Autor:
Stripelis, Dimitris, Hu, Zijian, Zhang, Jipeng, Xu, Zhaozhuo, Shah, Alay Dilipbhai, Jin, Han, Yao, Yuhang, Avestimehr, Salman, He, Chaoyang
With the rapid growth of Large Language Models (LLMs) across various domains, numerous new LLMs have emerged, each possessing domain-specific expertise. This proliferation has highlighted the need for quick, high-quality, and cost-effective LLM query
Externí odkaz:
http://arxiv.org/abs/2408.12320
Autor:
Yao, Yuhang, Jin, Han, Shah, Alay Dilipbhai, Han, Shanshan, Hu, Zijian, Ran, Yide, Stripelis, Dimitris, Xu, Zhaozhuo, Avestimehr, Salman, He, Chaoyang
Large language models (LLMs) have surged in popularity and are extensively used in commercial applications, where the efficiency of model serving is crucial for the user experience. Most current research focuses on optimizing individual sub-procedure
Externí odkaz:
http://arxiv.org/abs/2408.00008
In this paper, we systematically investigate the general dark matter-electron interactions within the framework of effective field theories (EFT). We consider both the non-relativistic (NR) EFT and the relativistic EFT descriptions of the interaction
Externí odkaz:
http://arxiv.org/abs/2406.10912
Autor:
Han, Shanshan, Hu, Zijian, Shah, Alay Dilipbhai, Jin, Han, Yao, Yuhang, Stripelis, Dimitris, Xu, Zhaozhuo, He, Chaoyang
We introduce TorchOpera, a compound AI system for enhancing the safety and quality of prompts and responses for Large Language Models. TorchOpera ensures that all user prompts are safe, contextually grounded, and effectively processed, while enhancin
Externí odkaz:
http://arxiv.org/abs/2406.10847
Publikováno v:
Phys. Rev. D 110, L091701 (2024)
In this Letter we revisit general dark matter (DM)-bound-electron interactions studied previously in the influential work [R. Catena {\it et al.,} Atomic responses to general dark matter-electron interactions, Phys. Rev. Res. 2, 033195 (2020)] For th
Externí odkaz:
http://arxiv.org/abs/2405.04855
Autor:
Hu, Running, Xie, Jin-Han, Li, Xinliang, Yu, Changping, Hu, Yuan, Wang, Jianchun, Chen, Shiyi
Helical magnetohydrodynamic turbulence with Hall effects is ubiquitous in heliophysics and plasma physics, such as star formation and solar activities, and its intrinsic mechanisms are still not clearly explained. Direct numerical simulations reveal
Externí odkaz:
http://arxiv.org/abs/2405.03405