Zobrazeno 1 - 10
of 57 699
pro vyhledávání: '"An, Hailong"'
Extracting implicit knowledge and logical reasoning abilities from large language models (LLMs) has consistently been a significant challenge. The advancement of multi-agent systems has further en-hanced the capabilities of LLMs. Inspired by the stru
Externí odkaz:
http://arxiv.org/abs/2411.13932
Generative Models (GMs), particularly Large Language Models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generate new data by learning the statistical properties of training data and
Externí odkaz:
http://arxiv.org/abs/2411.13867
Computing maximum/minimum distances between 3D meshes is crucial for various applications, i.e., robotics, CAD, VR/AR, etc. In this work, we introduce a highly parallel algorithm (gDist) optimized for Graphics Processing Units (GPUs), which is capabl
Externí odkaz:
http://arxiv.org/abs/2411.11244
Given the potential applications of generating recipes from food images, this area has garnered significant attention from researchers in recent years. Existing works for recipe generation primarily utilize a two-stage training method, first generati
Externí odkaz:
http://arxiv.org/abs/2411.08715
Autor:
Kooloth, Parvathi, Lu, Jian, Huang, Yi, DeSantis, Derek, Huo, Yiling, Liu, Fukai, Wang, Hailong
We devise a pattern-aware feedback framework for representing the forced climate response using a suite of Green's function experiments with solar radiation perturbations. By considering the column energy balance, a comprehensive linear response func
Externí odkaz:
http://arxiv.org/abs/2410.22450
Automated unit test generation has been widely studied, with Large Language Models (LLMs) recently showing significant potential. Moreover, in the context of unit test generation, these tools prioritize high code coverage, often at the expense of pra
Externí odkaz:
http://arxiv.org/abs/2410.13542
Autor:
Chen, Xiangping, Hu, Xing, Huang, Yuan, Jiang, He, Ji, Weixing, Jiang, Yanjie, Jiang, Yanyan, Liu, Bo, Liu, Hui, Li, Xiaochen, Lian, Xiaoli, Meng, Guozhu, Peng, Xin, Sun, Hailong, Shi, Lin, Wang, Bo, Wang, Chong, Wang, Jiayi, Wang, Tiantian, Xuan, Jifeng, Xia, Xin, Yang, Yibiao, Yang, Yixin, Zhang, Li, Zhou, Yuming, Zhang, Lu
Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineer
Externí odkaz:
http://arxiv.org/abs/2410.13110
Autor:
Yan, Gerald Q., McLaughlin, Nathan, Yamamoto, Tatsuya, Li, Senlei, Nozaki, Takayuki, Yuasa, Shinji, Du, Chunhui Rita, Wang, Hailong
Nitrogen-vacancy (NV) centers, atomic spin defects in diamond, represent an active contender for advancing transformative quantum information science (QIS) and innovations. One of the major challenges for designing NV-based hybrid systems for QIS app
Externí odkaz:
http://arxiv.org/abs/2410.12129
Data-serialization libraries are essential tools in software development, responsible for converting between programmable data structures and data persistence formats. Among them, JSON is the most popular choice for exchanging data between different
Externí odkaz:
http://arxiv.org/abs/2410.09414
Autor:
Pourreza, Mohammadreza, Li, Hailong, Sun, Ruoxi, Chung, Yeounoh, Talaei, Shayan, Kakkar, Gaurav Tarlok, Gan, Yu, Saberi, Amin, Ozcan, Fatma, Arik, Sercan O.
In tackling the challenges of large language model (LLM) performance for Text-to-SQL tasks, we introduce CHASE-SQL, a new framework that employs innovative strategies, using test-time compute in multi-agent modeling to improve candidate generation an
Externí odkaz:
http://arxiv.org/abs/2410.01943