1 code implementation • 17 Apr 2023 • Xianghui Sun, Yunjie Ji, Baochang Ma, Xiangang Li
In this study, we undertook experimental comparisons between full-parameter fine-tuning and LoRA-based tuning methods, utilizing LLaMA as the base model.
1 code implementation • 16 Apr 2023 • Yunjie Ji, Yan Gong, Yong Deng, Yiping Peng, Qiang Niu, Baochang Ma, Xiangang Li
Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversational models.
1 code implementation • 26 Mar 2023 • Yunjie Ji, Yong Deng, Yan Gong, Yiping Peng, Qiang Niu, Lei Zhang, Baochang Ma, Xiangang Li
However current research rarely studies the impact of different amounts of instruction data on model performance, especially in the real-world use cases.
1 code implementation • 14 Mar 2023 • Yunjie Ji, Yan Gong, Yiping Peng, Chao Ni, Peiyan Sun, Dongyu Pan, Baochang Ma, Xiangang Li
The results on the test set show that ChatGPT's ranking preferences are consistent with human to a certain extent.
no code implementations • SemEval (NAACL) 2022 • Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li
PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media. Compared to other NLP tasks of paragraph classification, the negative language presented in the PCL detection task is usually more implicit and subtle to be recognized, making the performance of common text-classification approaches disappointed.
no code implementations • Findings (NAACL) 2022 • Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li
Machine Reading Comprehension with Unanswerable Questions is a difficult NLP task, challenged by the questions which can not be answered from passages.
no code implementations • 18 Mar 2020 • Haiyang Xu, Yun Wang, Kun Han, Baochang Ma, Junwen Chen, Xiangang Li
Abstractive text summarization is a challenging task, and one need to design a mechanism to effectively extract salient information from the source text and then generate a summary.
2 code implementations • 2 Aug 2019 • Kun Han, Junwen Chen, HUI ZHANG, Haiyang Xu, Yiping Peng, Yun Wang, Ning Ding, Hui Deng, Yonghu Gao, Tingwei Guo, Yi Zhang, Yahao He, Baochang Ma, Yu-Long Zhou, Kangli Zhang, Chao Liu, Ying Lyu, Chenxi Wang, Cheng Gong, Yunbo Wang, Wei Zou, Hui Song, Xiangang Li
In this paper we present DELTA, a deep learning based language technology platform.
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