Zobrazeno 1 - 10
of 107 976
pro vyhledávání: '"Leong, A."'
Autor:
Liu, Zichen, Yu, Yue, Ouyang, Hao, Wang, Qiuyu, Cheng, Ka Leong, Wang, Wen, Liu, Zhiheng, Chen, Qifeng, Shen, Yujun
Image editing involves a variety of complex tasks and requires efficient and precise manipulation techniques. In this paper, we present MagicQuill, an integrated image editing system that enables swift actualization of creative ideas. Our system feat
Externí odkaz:
http://arxiv.org/abs/2411.09703
Autor:
Yin, Qingyu, Leong, Chak Tou, Zhang, Hongbo, Zhu, Minjun, Yan, Hanqi, Zhang, Qiang, He, Yulan, Li, Wenjie, Wang, Jun, Zhang, Yue, Yang, Linyi
The alignment of large language models (LLMs) with human preferences remains a key challenge. While post-training techniques like Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) have achieved notable success
Externí odkaz:
http://arxiv.org/abs/2411.07618
Autor:
Zhu, Yongda, Bakx, Tom J. L. C., Ikeda, Ryota, Umehata, Hideki, Becker, George D., Cain, Christopher, Champagne, Jaclyn B., Fan, Xiaohui, Fudamoto, Yoshinobu, Jin, Xiangyu, Ma, Hai-Xia, Sun, Yang, Takeuchi, Tsutomu T., Tee, Wei Leong
We report the discovery of a unique quasar-dusty star-forming galaxy (DSFG) system at $z = 5.63$, consisting of the bright quasar J1133+1603 ($M_{\rm UV} = -27.42$) and its compact, dust-obscured companion, J1133c. ALMA observations reveal a prominen
Externí odkaz:
http://arxiv.org/abs/2411.06698
This paper presents an innovative pseudo-haptic model for weight simulation in virtual reality (VR) environments. By integrating visual feedback with voluntary exerted force through a passive haptic glove, the model creates haptic illusions of weight
Externí odkaz:
http://arxiv.org/abs/2411.05133
Electronic maps consist of diverse entities, such as points of interest (POIs), road networks, and land parcels, playing a vital role in applications like ITS and LBS. Map entity representation learning (MapRL) generates versatile and reusable data r
Externí odkaz:
http://arxiv.org/abs/2411.00874
Deep Reinforcement Learning (DRL) has achieved remarkable success in solving complex decision-making problems by combining the representation capabilities of deep learning with the decision-making power of reinforcement learning. However, learning in
Externí odkaz:
http://arxiv.org/abs/2410.20487
Autor:
Xu, Kaishuai, Yu, Tiezheng, Hou, Wenjun, Cheng, Yi, Leong, Chak Tou, Li, Liangyou, Jiang, Xin, Shang, Lifeng, Liu, Qun, Li, Wenjie
Large Language Models (LLMs) have exhibited strong mathematical reasoning and computational prowess, tackling tasks ranging from basic arithmetic to advanced competition-level problems. However, frequently occurring subtle errors, such as miscalculat
Externí odkaz:
http://arxiv.org/abs/2410.06638
Autor:
Yin, Qingyu, He, Xuzheng, Deng, Luoao, Leong, Chak Tou, Wang, Fan, Yan, Yanzhao, Shen, Xiaoyu, Zhang, Qiang
Fine-tuning and in-context learning (ICL) are two prevalent methods in imbuing large language models with task-specific knowledge. It is commonly believed that fine-tuning can surpass ICL given sufficient training samples as it allows the model to ad
Externí odkaz:
http://arxiv.org/abs/2410.04691
Autor:
Champagne, Jaclyn B., Wang, Feige, Yang, Jinyi, Fan, Xiaohui, Hennawi, Joseph F., Sun, Fengwu, Bañados, Eduardo, Bosman, Sarah E. I., Costa, Tiago, Habouzit, Melanie, Jin, Xiangyu, Jun, Hyunsung D., Li, Mingyu, Liu, Weizhe, Loiacono, Federica, Lupi, Alessandro, Mazzucchelli, Chiara, Pudoka, Maria, Rojas-Ruiz, Sofia, Tee, Wei Leong, Trebitsch, Maxime, Zhang, Haowen, Zhuang, Ming-Yang, Zou, Siwei
We present paper II comprising a 35 arcmin$^2$ JWST/NIRCam imaging and wide-field slitless spectroscopy mosaic centered on J0305$-$3150, a luminous quasar at $z=6.61$. The F356W grism data reveals 124 [OIII]+H$\beta$ emitters at $5.3
Externí odkaz:
http://arxiv.org/abs/2410.03827
Autor:
Champagne, Jaclyn B., Wang, Feige, Zhang, Haowen, Yang, Jinyi, Fan, Xiaohui, Hennawi, Joseph F., Sun, Fengwu, Bañados, Eduardo, Bosman, Sarah E. I., Costa, Tiago, Eilers, Anna-Christina, Endsley, Ryan, Jin, Xiangyu, Jun, Hyunsung D., Li, Mingyu, Lin, Xiaojing, Liu, Weizhe, Loiacono, Federica, Lupi, Alessandro, Mazzucchelli, Chiara, Pudoka, Maria, Protušovà, Klaudia, Rojas-Ruiz, Sofia, Tee, Wei Leong, Trebitsch, Maxime, Venemans, Bram P., Zhuang, Ming-Yang, Zou, Siwei
ASPIRE (A SPectroscopic survey of bIased halos in the Reionization Era) is a quasar legacy survey primarily using JWST to target a sample of 25 $z>6$ quasars with NIRCam slitless spectroscopy and imaging. The first study in this series found evidence
Externí odkaz:
http://arxiv.org/abs/2410.03826