no code implementations • 14 May 2024 • Wei Wang, Zhaowei Li, Qi Xu, Yiqing Cai, Hang Song, Qi Qi, Ran Zhou, Zhida Huang, Tao Wang, Li Xiao
For the learning of positive knowledge, we collect positive rationales through self-consistency to denoise the LLM rationales generated by temperature sampling.
1 code implementation • 25 Jan 2024 • Haitao Gan, Lingchao Fu, Ran Zhou, Weiyan Gan, Furong Wang, Xiaoyan Wu, Zhi Yang, Zhongwei Huang
Specifically, the accuracy of mixed-echoic plaques classification increased by approximately 3. 3%, demonstrating the effectiveness of our approach.
2 code implementations • 11 Jan 2024 • Zhaowei Li, Qi Xu, Dong Zhang, Hang Song, Yiqing Cai, Qi Qi, Ran Zhou, Junting Pan, Zefeng Li, Van Tu Vu, Zhida Huang, Tao Wang
Beyond capturing global information like other multi-modal models, our proposed model excels at tasks demanding a detailed understanding of local information within the input.
no code implementations • 2 Jul 2023 • Haitao Gan, Ran Zhou, Yanghan Ou, Furong Wang, Xinyao Cheng, Aaron Fenster
The segmentation and classification of carotid plaques in ultrasound images play important roles in the treatment of atherosclerosis and assessment for the risk of stroke.
1 code implementation • 23 May 2023 • Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
In cross-lingual named entity recognition (NER), self-training is commonly used to bridge the linguistic gap by training on pseudo-labeled target-language data.
1 code implementation • 17 Nov 2022 • Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
We propose ConNER as a novel consistency training framework for cross-lingual NER, which comprises of: (1) translation-based consistency training on unlabeled target-language data, and (2) dropoutbased consistency training on labeled source-language data.
1 code implementation • Findings (ACL) 2022 • Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
A more useful text generator should leverage both the input text and the control signal to guide the generation, which can only be built with a deep understanding of the domain knowledge.
1 code implementation • ACL 2022 • Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
Data augmentation is an effective solution to data scarcity in low-resource scenarios.