no code implementations • 22 Feb 2024 • Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang
By conducting a detailed analysis of real multi-turn dialogue data, we construct a three-tier hierarchical ability taxonomy comprising 4208 turns across 1388 multi-turn dialogues in 13 distinct tasks.
1 code implementation • 22 Feb 2024 • Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng
This paper introduces ConceptMath, a bilingual (English and Chinese), fine-grained benchmark that evaluates concept-wise mathematical reasoning of Large Language Models (LLMs).
no code implementations • 9 May 2022 • Weixin Feng, Xingyuan Bu, Chenchen Zhang, Xubin Li
In this paper, we take advantage of language prompt to introduce effective and unbiased linguistic supervision into object detection, and propose a new mechanism called multimodal knowledge learning (\textbf{MKL}), which is required to learn knowledge from language supervision.
no code implementations • 9 May 2022 • Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng
In this paper, we present a visual encoding framework for CTR prediction to overcome these problems.
1 code implementation • CVPR 2021 • Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang
Transfer learning with pre-training on large-scale datasets has played an increasingly significant role in computer vision and natural language processing recently.
1 code implementation • 12 Dec 2020 • Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng
Furthermore, the bipartite match of ED harms the training efficiency due to the large ground truth number in crowd scenes.
no code implementations • CVPR 2020 • Junran Peng, Xingyuan Bu, Ming Sun, Zhao-Xiang Zhang, Tieniu Tan, Junjie Yan
Training with more data has always been the most stable and effective way of improving performance in deep learning era.
no code implementations • 26 Oct 2019 • Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao
This report details our solution to the Google AI Open Images Challenge 2019 Object Detection Track.
no code implementations • 15 Oct 2018 • Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen
This report demonstrates our solution for the Open Images 2018 Challenge.
no code implementations • 17 Nov 2017 • Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia
To this end, several new layers are introduced in our network, including a nonlinear kernel aggregation layer, an SPD matrix transformation layer, and a vectorization layer.