Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jiang, Jiyan"'
Publikováno v:
KDD 2024 (oral)
The prevailing issue of factual inconsistency errors in conventional Retrieval Augmented Generation (RAG) motivates the study of Factual Consistency Evaluation (FCE). Despite the various FCE methods proposed earlier, these methods are evaluated on da
Externí odkaz:
http://arxiv.org/abs/2407.01080
Autor:
Cai, Tianchi, Tan, Zhiwen, Song, Xierui, Sun, Tao, Jiang, Jiyan, Xu, Yunqi, Zhang, Yinger, Gu, Jinjie
Publikováno v:
KDD 2024
Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to enhance the quality of long-form question-answering (LFQA). Despite the emergence of various open source metho
Externí odkaz:
http://arxiv.org/abs/2406.13779
Aligning language models to human expectations, e.g., being helpful and harmless, has become a pressing challenge for large language models. A typical alignment procedure consists of supervised fine-tuning and preference learning. Most preference lea
Externí odkaz:
http://arxiv.org/abs/2312.02554
Autor:
Cai, Tianchi, Jiang, Jiyan, Zhang, Wenpeng, Zhou, Shiji, Song, Xierui, Yu, Li, Gu, Lihong, Zeng, Xiaodong, Gu, Jinjie, Zhang, Guannan
We study the budget allocation problem in online marketing campaigns that utilize previously collected offline data. We first discuss the long-term effect of optimizing marketing budget allocation decisions in the offline setting. To overcome the cha
Externí odkaz:
http://arxiv.org/abs/2309.02669
Autor:
Cai, Tianchi, Bao, Shenliao, Jiang, Jiyan, Zhou, Shiji, Zhang, Wenpeng, Gu, Lihong, Gu, Jinjie, Zhang, Guannan
Model-free RL-based recommender systems have recently received increasing research attention due to their capability to handle partial feedback and long-term rewards. However, most existing research has ignored a critical feature in recommender syste
Externí odkaz:
http://arxiv.org/abs/2308.13246
Autor:
Zhang, Ziwei, Qin, Yijian, Zhang, Zeyang, Guan, Chaoyu, Cai, Jie, Chang, Heng, Jiang, Jiyan, Li, Haoyang, Sun, Zixin, Xie, Beini, Yao, Yang, Zhang, Yipeng, Wang, Xin, Zhu, Wenwu
Recent years have witnessed an upsurge in research interests and applications of machine learning on graphs. However, manually designing the optimal machine learning algorithms for different graph datasets and tasks is inflexible, labor-intensive, an
Externí odkaz:
http://arxiv.org/abs/2104.04987
Autor:
Zhou, Jun, Jiang, Jiyan, Zhou, Yongquan, Chen, Xu, Ji, Changhao, Feng, Shihe, Yang, Cheng, Long, Yu
Publikováno v:
In Optics and Laser Technology October 2023 165
Autor:
Chen, Xu, Wang, Chengyun, Jiang, Jiyan, Ji, Changhao, Feng, Shihe, Yang, Cheng, Xiang, Zaiyu, Long, Yu
Publikováno v:
In Ceramics International 15 September 2023 49(18):29857-29869
Autor:
Guan, Chaoyu, Zhang, Ziwei, Li, Haoyang, Chang, Heng, Zhang, Zeyang, Qin, Yijian, Jiang, Jiyan, Wang, Xin, Zhu, Wenwu
Recent years have witnessed an upsurge of research interests and applications of machine learning on graphs. Automated machine learning (AutoML) on graphs is on the horizon to automatically design the optimal machine learning algorithm for a given gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d30c33f23e5fb6af32aaf148f10cb6c
Autor:
Chen, Weihao1 (AUTHOR), Wang, Xuedong2 (AUTHOR), Jiang, Qilin1 (AUTHOR), Wu, Jiyan1 (AUTHOR), Shi, Wanyan3 (AUTHOR), Wang, Xiaoxiao4 (AUTHOR), Yin, Yihu1 (AUTHOR), Zheng, Jiayin5 (AUTHOR), Hu, Xiang2 (AUTHOR) huxiang@wmu.edu.cn, Lin, Cai1 (AUTHOR) 13025092850@163.com, Zhang, Xingxing2 (AUTHOR) Zhangxingxing@wzhospital.cn
Publikováno v:
Journal of Foot & Ankle Research. 10/5/2023, Vol. 16 Issue 1, p1-8. 8p.