no code implementations • 28 Feb 2024 • Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei LI
On the contrary, we observe that 2000 endangered languages, though without a large corpus, have a grammar book or a dictionary.
1 code implementation • 6 Oct 2023 • Zhenqiao Song, Yunlong Zhao, Wenxian Shi, Yang Yang, Lei LI
In this paper, we propose NAEPro, a model to jointly design Protein sequence and structure based on automatically detected functional sites.
no code implementations • 4 Oct 2023 • Zhenqiao Song, Yunlong Zhao, Yufei Song, Wenxian Shi, Yang Yang, Lei LI
Designing novel proteins with desired functions is crucial in biology and chemistry.
1 code implementation • 23 May 2023 • Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei LI
By harnessing both explicit human instruction and the implicit knowledge of GPT-4, we fine-tune a text evaluation metric based on LLaMA, producing both a score for generated text and a human readable diagnostic report.
1 code implementation • 30 Apr 2023 • Zhenqiao Song, Lei LI
How can we efficiently generate diverse and novel protein sequences with high fitness?
no code implementations • ICLR 2022 • Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei LI
Multilingual machine translation aims to develop a single model for multiple language directions.
1 code implementation • Findings (NAACL) 2022 • Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei LI
We introduce MTG, a new benchmark suite for training and evaluating multilingual text generation.
no code implementations • 27 Jan 2021 • Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei LI
Our proposed model is simple yet effective: by using bidword as the bridge between search query and advertisement, the generation of search query, advertisement and bidword can be jointly learned in the triangular training framework.
no code implementations • 10 Sep 2020 • Lu Liu, Zhenqiao Song, Xiaoqing Zheng, Jun He
One of the major challenges in coreference resolution is how to make use of entity-level features defined over clusters of mentions rather than mention pairs.
no code implementations • ACL 2019 • Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, Xuanjing Huang
It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction.