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pro vyhledávání: '"Qu, Jianfeng"'
Knowledge-grounded dialogue (KGD) learns to generate an informative response based on a given dialogue context and external knowledge (\emph{e.g.}, knowledge graphs; KGs). Recently, the emergence of large language models (LLMs) and pre-training techn
Externí odkaz:
http://arxiv.org/abs/2401.04361
Autor:
Hao, Yongjing, Zhao, Pengpeng, Fang, Junhua, Qu, Jianfeng, Liu, Guanfeng, Zhuang, Fuzhen, Sheng, Victor S., Zhou, Xiaofang
Sequential Recommendation (SR) has received increasing attention due to its ability to capture user dynamic preferences. Recently, Contrastive Learning (CL) provides an effective approach for sequential recommendation by learning invariance from diff
Externí odkaz:
http://arxiv.org/abs/2310.13925
Constructing commonsense knowledge graphs (CKGs) has attracted wide research attention due to its significant importance in cognitive intelligence. Nevertheless, existing CKGs are typically oriented to English, limiting the research in non-English la
Externí odkaz:
http://arxiv.org/abs/2306.10241
To adapt text summarization to the multilingual world, previous work proposes multi-lingual summarization (MLS) and cross-lingual summarization (CLS). However, these two tasks have been studied separately due to the different definitions, which limit
Externí odkaz:
http://arxiv.org/abs/2305.09220
Autor:
Du, Xinyu, Yuan, Huanhuan, Zhao, Pengpeng, Qu, Jianfeng, Zhuang, Fuzhen, Liu, Guanfeng, Sheng, Victor S.
The self-attention mechanism, which equips with a strong capability of modeling long-range dependencies, is one of the extensively used techniques in the sequential recommendation field. However, many recent studies represent that current self-attent
Externí odkaz:
http://arxiv.org/abs/2304.09184
Autor:
Wang, Jiaan, Liang, Yunlong, Meng, Fandong, Sun, Zengkui, Shi, Haoxiang, Li, Zhixu, Xu, Jinan, Qu, Jianfeng, Zhou, Jie
Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation metrics. Ho
Externí odkaz:
http://arxiv.org/abs/2303.04048
Given a document in a source language, cross-lingual summarization (CLS) aims to generate a summary in a different target language. Recently, the emergence of Large Language Models (LLMs), such as GPT-3.5, ChatGPT and GPT-4, has attracted wide attent
Externí odkaz:
http://arxiv.org/abs/2302.14229
Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the given documents in another language. CLS has attracted wide research attention due to its practical significance in the multi-lingual world. Though great contribut
Externí odkaz:
http://arxiv.org/abs/2212.00586
Autor:
Lai, Danling1 (AUTHOR) dllai@stu.suda.edu.cn, Qu, Jianfeng1 (AUTHOR) jfqu@suda.edu.cn, Sang, Yu2 (AUTHOR), Chen, Xi1 (AUTHOR)
Publikováno v:
GeoInformatica. Oct2024, Vol. 28 Issue 4, p631-648. 18p.
Multi-modal knowledge graphs (MKGs) include not only the relation triplets, but also related multi-modal auxiliary data (i.e., texts and images), which enhance the diversity of knowledge. However, the natural incompleteness has significantly hindered
Externí odkaz:
http://arxiv.org/abs/2209.01416