Search Results for author: Ziqiang Cao

Found 27 papers, 6 papers with code

Evolving Large Language Model Assistant with Long-Term Conditional Memory

no code implementations22 Dec 2023 Ruifeng Yuan, Shichao Sun, Zili Wang, Ziqiang Cao, Wenjie Li

It focuses on preserving the knowledge and experience from the history dialogue between the user and AI assistant, which can be applied to future dialogue for generating a better response.

Language Modelling Large Language Model +1

KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model

1 code implementation20 Nov 2023 Lei Geng, Xu Yan, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang

We achieve a biomedical multilingual corpus by incorporating three granularity knowledge alignments (entity, fact, and passage levels) into monolingual corpora.

Relation XLM-R

RSpell: Retrieval-augmented Framework for Domain Adaptive Chinese Spelling Check

1 code implementation16 Aug 2023 Siqi Song, Qi Lv, Lei Geng, Ziqiang Cao, Guohong Fu

In this paper, we propose a retrieval-augmented spelling check framework called RSpell, which searches corresponding domain terms and incorporates them into CSC models.


RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search

1 code implementation23 May 2023 Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang

RA offsets the overfitting risk by introducing a novel positive relation detection task (i. e., learning to distinguish strong and weak positive pairs).

Person Search Relation +2

Text-based Person Search without Parallel Image-Text Data

no code implementations22 May 2023 Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang

Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description.

Image Captioning Language Modelling +4

Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference!

1 code implementation8 May 2023 Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang

Diffusion models have been successfully adapted to text generation tasks by mapping the discrete text into the continuous space.

Text Generation

Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening

no code implementations14 Mar 2023 Min Cao, Yang Bai, Jingyao Wang, Ziqiang Cao, Liqiang Nie, Min Zhang

The proposed framework equipped with only two embedding layers achieves $O(1)$ querying time complexity, while improving the retrieval efficiency and keeping its performance, when applied prior to the common image-text retrieval methods.

Multi-Label Classification Multi-Task Learning +2

Few-shot Query-Focused Summarization with Prefix-Merging

no code implementations29 Nov 2022 Ruifeng Yuan, Zili Wang, Ziqiang Cao, Wenjie Li

Drawn inspiration from prefix-tuning, we are allowed to integrate the task knowledge from text summarization and question answering into a properly designed prefix and apply the merged prefix to query-focused summarization.

Few-Shot Learning Query-focused Summarization +2

FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness

no code implementations1 Nov 2022 Wenhao Wu, Wei Li, Jiachen Liu, Xinyan Xiao, Ziqiang Cao, Sujian Li, Hua Wu

We first measure a model's factual robustness by its success rate to defend against adversarial attacks when generating factual information.

Abstractive Text Summarization

Visual Subtitle Feature Enhanced Video Outline Generation

no code implementations24 Aug 2022 Qi Lv, Ziqiang Cao, Wenrui Xie, Derui Wang, Jingwen Wang, Zhiwei Hu, Tangkun Zhang, Ba Yuan, Yuanhang Li, Min Cao, Wenjie Li, Sujian Li, Guohong Fu

Furthermore, based on the similarity between video outlines and textual outlines, we use a large number of articles with chapter headings to pretrain our model.

Headline Generation Navigate +4

Revising Image-Text Retrieval via Multi-Modal Entailment

no code implementations22 Aug 2022 Xu Yan, Chunhui Ai, Ziqiang Cao, Min Cao, Sujian Li, Wenjie Li, Guohong Fu

While the builders of existing image-text retrieval datasets strive to ensure that the caption matches the linked image, they cannot prevent a caption from fitting other images.

Natural Language Inference Retrieval +2

KE-QI: A Knowledge Enhanced Article Quality Identification Dataset

no code implementations15 Jun 2022 Chunhui Ai, Derui Wang, Xu Yan, Yang Xu, Wenrui Xie, Ziqiang Cao

With so many articles of varying qualities being produced every moment, it is a very urgent task to screen outstanding articles and commit them to social media.

Text Classification

BASS: Boosting Abstractive Summarization with Unified Semantic Graph

no code implementations ACL 2021 Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu, Haifeng Wang

Abstractive summarization for long-document or multi-document remains challenging for the Seq2Seq architecture, as Seq2Seq is not good at analyzing long-distance relations in text.

Abstractive Text Summarization Document Summarization +2

Incorporating Relevant Knowledge in Context Modeling and Response Generation

no code implementations9 Nov 2018 Yan-ran Li, Wenjie Li, Ziqiang Cao, Chengyao Chen

To sustain engaging conversation, it is critical for chatbots to make good use of relevant knowledge.

Attribute Chatbot +1

Faithful to the Original: Fact Aware Neural Abstractive Summarization

no code implementations13 Nov 2017 Ziqiang Cao, Furu Wei, Wenjie Li, Sujian Li

While previous abstractive summarization approaches usually focus on the improvement of informativeness, we argue that faithfulness is also a vital prerequisite for a practical abstractive summarization system.

Abstractive Text Summarization Extractive Summarization +3

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

13 code implementations IJCNLP 2017 Yan-ran Li, Hui Su, Xiaoyu Shen, Wenjie Li, Ziqiang Cao, Shuzi Niu

We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.

Joint Copying and Restricted Generation for Paraphrase

no code implementations28 Nov 2016 Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li

In this paper, we develop a novel Seq2Seq model to fuse a copying decoder and a restricted generative decoder.

Abstractive Text Summarization Informativeness +2

Improving Multi-Document Summarization via Text Classification

no code implementations28 Nov 2016 Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei

Developed so far, multi-document summarization has reached its bottleneck due to the lack of sufficient training data and diverse categories of documents.

Document Summarization General Classification +3

Multi-Document Summarization via Discriminative Summary Reranking

no code implementations8 Jul 2015 Xiaojun Wan, Ziqiang Cao, Furu Wei, Sujian Li, Ming Zhou

However, according to our quantitative analysis, none of the existing summarization models can always produce high-quality summaries for different document sets, and even a summarization model with good overall performance may produce low-quality summaries for some document sets.

Document Summarization Multi-Document Summarization +1

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