Search Results for author: Zhenqiao Song

Found 10 papers, 4 papers with code

Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions

no code implementations28 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.

Functional Geometry Guided Protein Sequence and Backbone Structure Co-Design

1 code implementation6 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.

Joint Design of Protein Sequence and Structure based on Motifs

no code implementations4 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.

INSTRUCTSCORE: Explainable Text Generation Evaluation with Finegrained Feedback

1 code implementation23 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.

Text Generation

Importance Weighted Expectation-Maximization for Protein Sequence Design

1 code implementation30 Apr 2023 Zhenqiao Song, Lei LI

How can we efficiently generate diverse and novel protein sequences with high fitness?

Triangular Bidword Generation for Sponsored Search Auction

no code implementations27 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.

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference

no code implementations10 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.

coreference-resolution

Generating Responses with a Specific Emotion in Dialog

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.

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