1 code implementation • ECCV 2020 • Zixuan Chen, Zhihui Xie, Junchi Yan Yinqiang Zheng, Xiaokang Yang
In this paper, we treat the graphs as graphs on a super-graph, and propose a novel breadth first search based method for expanding the neighborhood on the super-graph for a new coming graph, such that the matching with the new graph can be efficiently performed within the constructed neighborhood.
no code implementations • 18 Apr 2024 • Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei LI, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie
On text benchmarks, Core not only performs competitively to other frontier models on a set of well-established benchmarks (e. g. MMLU, GSM8K) but also outperforms GPT4-0613 on human evaluation.
1 code implementation • 11 Jan 2024 • Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li
While these results are promising, follow-up works found that, within the multilingual embedding spaces, there exists strong language identity information which hinders the expression of linguistic factors shared across languages.
no code implementations • 17 Dec 2023 • Lei LI, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong
This paper explores preference distillation for large vision language models (LVLMs), improving their ability to generate helpful and faithful responses anchoring the visual context.
Ranked #18 on Visual Question Answering on MM-Vet
1 code implementation • 26 May 2023 • Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Wei Yang, Shuai Li
While promising, return conditioning is limited to training data labeled with rewards and therefore faces challenges in learning from unsupervised data.
no code implementations • 8 Nov 2022 • Zhihui Xie, Zichuan Lin, Junyou Li, Shuai Li, Deheng Ye
The past few years have seen rapid progress in combining reinforcement learning (RL) with deep learning.
1 code implementation • 21 Aug 2022 • Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li
To enable users to provide comparative preferences during conversational interactions, we propose a novel comparison-based conversational recommender system.
no code implementations • 31 Jul 2018 • Gang Bai, Zhihui Xie, Liang Wang
Sponsored search in E-commerce platforms such as Amazon, Taobao and Tmall provides sellers an effective way to reach potential buyers with most relevant purpose.