Zobrazeno 1 - 10
of 22 154
pro vyhledávání: '"An-Chen Wang"'
This study investigates the development dilemma of ride-sharing services using real-world mobility datasets from nine cities and calibrated customers' price and detour elasticity. Through massive numerical experiments, this study reveals that while r
Externí odkaz:
http://arxiv.org/abs/2412.08801
Model merging has gained increasing attention as an efficient and effective technique for integrating task-specific weights from various tasks into a unified multi-task model without retraining or additional data. As a representative approach, Task A
Externí odkaz:
http://arxiv.org/abs/2411.18729
This paper investigates the 3D domain generalization (3DDG) ability of large 3D models based on prevalent prompt learning. Recent works demonstrate the performances of 3D point cloud recognition can be boosted remarkably by parameter-efficient prompt
Externí odkaz:
http://arxiv.org/abs/2410.20406
In this paper, we deal with multiobjective composite optimization problems, where each objective function is a combination of smooth and possibly non-smooth functions. We first propose a parameter-dependent conditional gradient method to solve this p
Externí odkaz:
http://arxiv.org/abs/2410.18465
Direct Preference Optimization (DPO) has emerged as a more computationally efficient alternative to Reinforcement Learning from Human Feedback (RLHF) with Proximal Policy Optimization (PPO), eliminating the need for reward models and online sampling.
Externí odkaz:
http://arxiv.org/abs/2410.04834
Autor:
Chen, Wang, Hu, Mengli, Zong, Junyu, Xie, Xuedong, Ren, Wei, Meng, Qinghao, Yu, Fan, Tian, Qichao, Jin, Shaoen, Qiu, Xiaodong, Wang, Kaili, Wang, Can, Liu, Junwei, Li, Fang-Sen, Wang, Li, Zhang, Yi
The transition metal dichalcogenides (TMDCs) with a 1T' structural phase are predicted to be two-dimensional topological insulators at zero temperature. Although the quantized edge conductance of 1T'-WTe$_2$ has been confirmed to survive up to 100 K,
Externí odkaz:
http://arxiv.org/abs/2409.09698
The property of reversibility is quite meaningful for the classic theoretical computer science model, cellular automata. For the reversibility problem for a CA under null boundary conditions, while linear rules have been studied a lot, the non-linear
Externí odkaz:
http://arxiv.org/abs/2405.03609
On the convergence of conditional gradient method for unbounded multiobjective optimization problems
This paper focuses on developing a conditional gradient algorithm for multiobjective optimization problems with an unbounded feasible region. We employ the concept of recession cone to establish the well-defined nature of the algorithm. The asymptoti
Externí odkaz:
http://arxiv.org/abs/2403.02671
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in computation and storage, and depend on time-consuming prompt en
Externí odkaz:
http://arxiv.org/abs/2402.15823
This paper addresses unconstrained multiobjective optimization problems where two or more continuously differentiable functions have to be minimized. We delve into the conjugate gradient methods proposed by Lucambio P\'{e}rez and Prudente (SIAM J Opt
Externí odkaz:
http://arxiv.org/abs/2312.02461