Search Results for author: Danqing Wang

Found 18 papers, 12 papers with code

Exploring Domain Shift in Extractive Text Summarization

no code implementations30 Aug 2019 Danqing Wang, PengFei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang

Although domain shift has been well explored in many NLP applications, it still has received little attention in the domain of extractive text summarization.

Extractive Text Summarization Meta-Learning

A Closer Look at Data Bias in Neural Extractive Summarization Models

no code implementations WS 2019 Ming Zhong, Danqing Wang, PengFei Liu, Xipeng Qiu, Xuanjing Huang

In this paper, we take stock of the current state of summarization datasets and explore how different factors of datasets influence the generalization behaviour of neural extractive summarization models.

Extractive Summarization

Heterogeneous Graph Neural Networks for Extractive Document Summarization

1 code implementation ACL 2020 Danqing Wang, PengFei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang

An intuitive way is to put them in the graph-based neural network, which has a more complex structure for capturing inter-sentence relationships.

Document Summarization Extractive Document Summarization +3

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

2 code implementations Findings of the Association for Computational Linguistics 2020 Yiran Chen, PengFei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

In this paper, we perform an in-depth analysis of characteristics of different datasets and investigate the performance of different summarization models under a cross-dataset setting, in which a summarizer trained on one corpus will be evaluated on a range of out-of-domain corpora.

Text Summarization

Enhancing Scientific Papers Summarization with Citation Graph

1 code implementation7 Apr 2021 Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Previous work for text summarization in scientific domain mainly focused on the content of the input document, but seldom considering its citation network.

Text Summarization

Generating Antimicrobial Peptides from Latent Secondary Structure Space

no code implementations29 Sep 2021 Danqing Wang, Zeyu Wen, Lei LI, Hao Zhou

By sampling in the latent secondary structure space, we can generate peptides with ideal amino acids and secondary structures at the same time.

Drug Discovery

CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level

no code implementations21 Oct 2021 Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei LI

In this paper, we present a large-scale Chinese news summarization dataset CNewSum, which consists of 304, 307 documents and human-written summaries for the news feed.

News Summarization Text Summarization

Accelerating Antimicrobial Peptide Discovery with Latent Structure

1 code implementation28 Nov 2022 Danqing Wang, Zeyu Wen, Fei Ye, Lei LI, Hao Zhou

By sampling in the latent space, LSSAMP can simultaneously generate peptides with ideal sequence attributes and secondary structures.

Quantization

On Pre-trained Language Models for Antibody

1 code implementation28 Jan 2023 Danqing Wang, Fei Ye, Hao Zhou

The development of general protein and antibody-specific pre-trained language models both facilitate antibody prediction tasks.

Drug Discovery Language Modelling +1

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

Learning from Mistakes via Cooperative Study Assistant for Large Language Models

1 code implementation23 May 2023 Danqing Wang, Lei LI

In this paper, we propose Study Assistant for Large LAnguage Model (SALAM), a novel framework with an auxiliary agent to assist the main LLM in learning from mistakes through interactive cooperation.

Imitation Learning Language Modelling +1

ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle Verifiers

1 code implementation NeurIPS 2023 Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei LI

To address these challenges, we propose ALGO, a framework that synthesizes Algorithmic programs with LLM-Generated Oracles to guide the generation and verify their correctness.

Code Generation

Learning Personalized Story Evaluation

no code implementations5 Oct 2023 Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei LI, Yuandong Tian

We further develop a personalized story evaluation model PERSE to infer reviewer preferences and provide a personalized evaluation.

Retrieval Text Generation

End-to-end Story Plot Generator

no code implementations13 Oct 2023 Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian

Story plots, while short, carry most of the essential information of a full story that may contain tens of thousands of words.

Blocking

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