Zobrazeno 1 - 10
of 43 369
pro vyhledávání: '"Liu,Jia"'
Gradient Descent (GD) and Conjugate Gradient (CG) methods are among the most effective iterative algorithms for solving unconstrained optimization problems, particularly in machine learning and statistical modeling, where they are employed to minimiz
Externí odkaz:
http://arxiv.org/abs/2412.13473
Multi-objective optimization (MOO) lies at the core of many machine learning (ML) applications that involve multiple, potentially conflicting objectives (e.g., multi-task learning, multi-objective reinforcement learning, among many others). Despite t
Externí odkaz:
http://arxiv.org/abs/2412.10961
We investigate a fifth force mediated by a light vector boson that couples to lepton spins, characterized by axial-vector couplings to leptons and vector couplings to nucleons. This interaction generates a potential proportional to the inner product
Externí odkaz:
http://arxiv.org/abs/2412.10724
Autor:
Huang, Xiaoshuang, Shen, Lingdong, Liu, Jia, Shang, Fangxin, Li, Hongxiang, Huang, Haifeng, Yang, Yehui
In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demonstrating the feasibility of developing an intelligent biomedical assistant. However, current biomedical MLLMs predominantly focus on image-level underst
Externí odkaz:
http://arxiv.org/abs/2412.09278
Publikováno v:
Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI2025)
Offline preference-based reinforcement learning (PbRL) typically operates in two phases: first, use human preferences to learn a reward model and annotate rewards for a reward-free offline dataset; second, learn a policy by optimizing the learned rew
Externí odkaz:
http://arxiv.org/abs/2412.09104
Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model
Context: Crowdsourced testing has gained popularity in software testing, especially for mobile app testing, due to its ability to bring diversity and tackle fragmentation issues. However, the openness of crowdsourced testing presents challenges, part
Externí odkaz:
http://arxiv.org/abs/2411.17045
Autor:
Zhang, Ruijun, Zhang, Mingkun, Zhang, Guoliang, Chen, Yujian, Liu, Jia, Tian, Ziqian, Yu, Ye, Zhao, Peng, Wu, Shaoxiong, Zhang, Yuning, Lin, Dingqu, Chen, Xiaping, Cai, Jiafa, Hong, Rongdun, Zhang, Feng
A minority carrier lifetime of 25.46 $\mu$s in a P-type 4H-SiC epilayer has been attained through sequential thermal oxidation and hydrogen annealing. Thermal oxidation can enhance the minority carrier lifetime in the 4H-SiC epilayer by reducing carb
Externí odkaz:
http://arxiv.org/abs/2411.10777
Stock price prediction is of significant importance in quantitative investment. Existing approaches encounter two primary issues: First, they often overlook the crucial role of capturing short-term stock fluctuations for predicting high-volatility re
Externí odkaz:
http://arxiv.org/abs/2411.06065
The configuration interaction relativistic Hartree-Fock (CI-RHF) model is developed in this work. Compared to the conventional configuration interaction shell model calculations, the CI-RHF model can be applied to study the structural properties of a
Externí odkaz:
http://arxiv.org/abs/2411.05370
Capturing and maintaining geometric interactions among different body parts is crucial for successful motion retargeting in skinned characters. Existing approaches often overlook body geometries or add a geometry correction stage after skeletal motio
Externí odkaz:
http://arxiv.org/abs/2410.20986