4 papers
Bridging Semantic Gaps in RAG through Generated Context Knowledge Fusion
Xinkai Du, Chao Lv, Yalin Sun +3
Retrieval-Augmented Generation has established itself as a fundamental framework in natural language processing, seamlessly integrating information retrieval with the generative ca…
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation
Xinkai Du, Quanjie Han, Chao Lv +5
Open-domain Question Answering (QA) has garnered substantial interest by combining the advantages of faithfully retrieved passages and relevant passages generated through Large Lan…
Label Dependencies-aware Set Prediction Networks for Multi-label Text Classification
Du Xinkai, Han Quanjie, Sun Yalin +2
Multi-label text classification involves extracting all relevant labels from a sentence. Given the unordered nature of these labels, we propose approaching the problem as a set pre…
StyleBERT: Chinese pretraining by font style information
Chao Lv, Han Zhang, XinKai Du +5
With the success of down streaming task using English pre-trained language model, the pre-trained Chinese language model is also necessary to get a better performance of Chinese NL…