Zobrazeno 1 - 10
of 2 584
pro vyhledávání: '"Wang, JiaNing"'
Autor:
Yang, Nan, Wang, Chong, Zhao, Meihua, Zhao, Zimeng, Zheng, Huiling, Zhang, Bin, Wang, Jianing, Li, Xiaofeng
Ocean forecasting is crucial for both scientific research and societal benefits. Currently, the most accurate forecasting systems are global ocean forecasting systems (GOFSs), which represent the ocean state variables (OSVs) as discrete grids and sol
Externí odkaz:
http://arxiv.org/abs/2412.18097
Autor:
Yang, Fan, Zhen, Ru, Wang, Jianing, Zhang, Yanhao, Chen, Haoxiang, Lu, Haonan, Zhao, Sicheng, Ding, Guiguang
AIGC images are prevalent across various fields, yet they frequently suffer from quality issues like artifacts and unnatural textures. Specialized models aim to predict defect region heatmaps but face two primary challenges: (1) lack of explainabilit
Externí odkaz:
http://arxiv.org/abs/2411.17261
Autor:
Wu, Junda, Li, Xintong, Wang, Ruoyu, Xia, Yu, Xiong, Yuxin, Wang, Jianing, Yu, Tong, Chen, Xiang, Kveton, Branislav, Yao, Lina, Shang, Jingbo, McAuley, Julian
Offline evaluation of LLMs is crucial in understanding their capacities, though current methods remain underexplored in existing research. In this work, we focus on the offline evaluation of the chain-of-thought capabilities and show how to optimize
Externí odkaz:
http://arxiv.org/abs/2410.23703
Autor:
Zhang, Xiaocheng, Wang, Xi, Lu, Yifei, Ye, Zhuangzhuang, Wang, Jianing, Bao, Mengjiao, Yan, Peng, Su, Xiaohong
Explanation generation plays a more pivotal role than fact verification in producing interpretable results and facilitating comprehensive fact-checking, which has recently garnered considerable attention. However, previous studies on explanation gene
Externí odkaz:
http://arxiv.org/abs/2410.15135
Iterative preference optimization has recently become one of the de-facto training paradigms for large language models (LLMs), but the performance is still underwhelming due to too much noisy preference data yielded in the loop. To combat this issue,
Externí odkaz:
http://arxiv.org/abs/2409.11212
Autor:
Dai, Runpeng, Wang, Jianing, Zhou, Fan, Luo, Shikai, Qin, Zhiwei, Shi, Chengchun, Zhu, Hongtu
Off-policy evaluation (OPE) is widely applied in sectors such as pharmaceuticals and e-commerce to evaluate the efficacy of novel products or policies from offline datasets. This paper introduces a causal deepset framework that relaxes several key st
Externí odkaz:
http://arxiv.org/abs/2407.17910
High-frequency primordial gravitational waves (PGWs) with wave numbers larger than the Hubble parameter at the end of inflation are originated from the ultraviolet (UV) modes, which are never stretched out of the horizon. Such a UV tail of the PGW en
Externí odkaz:
http://arxiv.org/abs/2407.06066
Autor:
Sun, Qiushi, Chen, Zhirui, Xu, Fangzhi, Cheng, Kanzhi, Ma, Chang, Yin, Zhangyue, Wang, Jianing, Han, Chengcheng, Zhu, Renyu, Yuan, Shuai, Guo, Qipeng, Qiu, Xipeng, Yin, Pengcheng, Li, Xiaoli, Yuan, Fei, Kong, Lingpeng, Li, Xiang, Wu, Zhiyong
Neural Code Intelligence -- leveraging deep learning to understand, generate, and optimize code -- holds immense potential for transformative impacts on the whole society. Bridging the gap between Natural Language and Programming Language, this domai
Externí odkaz:
http://arxiv.org/abs/2403.14734
Autor:
Wu, Junda, Chang, Cheng-Chun, Yu, Tong, He, Zhankui, Wang, Jianing, Hou, Yupeng, McAuley, Julian
The long-tail recommendation is a challenging task for traditional recommender systems, due to data sparsity and data imbalance issues. The recent development of large language models (LLMs) has shown their abilities in complex reasoning, which can h
Externí odkaz:
http://arxiv.org/abs/2403.06447
Publikováno v:
JCAP08(2024)054
We thoroughly study the induced gravitational wave interpretation of the possible gravitational wave background reported by PTA collaborations, considering the unknown equation of state $w$ of the early universe. We perform a Bayesian analysis of the
Externí odkaz:
http://arxiv.org/abs/2402.18965