Zobrazeno 1 - 10
of 9 057
pro vyhledávání: '"Nabi, P."'
Publikováno v:
Chinese Physics C 48.4 (2024), 045103
The CNO cycle is the main source of energy in stars more massive than our Sun. It defines the energy production and the duration contributes in determining the lifetime of massive stars. The cycle is an important tool for the determination of the age
Externí odkaz:
http://arxiv.org/abs/2411.01444
Publikováno v:
Chinese Physics C (2024), 48(3), 034107
Key nuclear inputs for the astrophysical r process simulations are the weak interaction rates. Consequently, the accuracy of these inputs directly affects the reliability of nucleosynthesis modeling. Majority of the stellar rates, used in simulation
Externí odkaz:
http://arxiv.org/abs/2411.01436
Autor:
Chegini, Atoosa, Kazemi, Hamid, Mirzadeh, Iman, Yin, Dong, Horton, Maxwell, Nabi, Moin, Farajtabar, Mehrdad, Alizadeh, Keivan
In Large Language Model (LLM) development, Reinforcement Learning from Human Feedback (RLHF) is crucial for aligning models with human values and preferences. RLHF traditionally relies on the Kullback-Leibler (KL) divergence between the current polic
Externí odkaz:
http://arxiv.org/abs/2411.01798
Publikováno v:
Chinese Physics C 48, 094101 (2024)
The neutron capture rates and temperature dependent stellar beta decay rates of Mo isotopes are investigated within the framework of the statistical code (Talys v1.96) and proton neutron quasi particle random phase approximation (pnQRPA) models. The
Externí odkaz:
http://arxiv.org/abs/2410.20086
Autor:
Ashkboos, Saleh, Mirzadeh, Iman, Alizadeh, Keivan, Sekhavat, Mohammad Hossein, Nabi, Moin, Farajtabar, Mehrdad, Faghri, Fartash
While large language models (LLMs) dominate the AI landscape, Small-scale large Language Models (SLMs) are gaining attention due to cost and efficiency demands from consumers. However, there is limited research on the training behavior and computatio
Externí odkaz:
http://arxiv.org/abs/2410.19456
Publikováno v:
Chinese Journal of Physics 90, 1-14 (2024)
Nuclear structure properties and weak interaction rates of neutron rich even even iron (Fe) isotopes (A = 50 70) are investigated using the Interacting Boson Model1 (IBM1) and the proton neutron Quasiparticle Random Phase Approximation (pnQRPA) model
Externí odkaz:
http://arxiv.org/abs/2410.19335
Causal discovery in real-world systems, such as biological networks, is often complicated by feedback loops and incomplete data. Standard algorithms, which assume acyclic structures or fully observed data, struggle with these challenges. To address t
Externí odkaz:
http://arxiv.org/abs/2410.18918
The costs and complexity of the American judicial system limit access to legal solutions for many Americans. Large language models (LLMs) hold great potential to improve access to justice. However, a major challenge in applying AI and LLMs in legal c
Externí odkaz:
http://arxiv.org/abs/2410.09904
The FCC's National Broadband Map aspires to provide an unprecedented view into broadband availability in the US. However, this map, which also determines eligibility for public grant funding, relies on self-reported data from service providers that i
Externí odkaz:
http://arxiv.org/abs/2410.08518
Autor:
Horton, Maxwell, Cao, Qingqing, Sun, Chenfan, Jin, Yanzi, Mehta, Sachin, Rastegari, Mohammad, Nabi, Moin
Inference with transformer-based language models begins with a prompt processing step. In this step, the model generates the first output token and stores the KV cache needed for future generation steps. This prompt processing step can be computation
Externí odkaz:
http://arxiv.org/abs/2410.08391