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20192023
most citedQwen Technical Report

110 citations · 176 across the 11 of their papers we have counts for

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Showing cs.CLShow all

13 papers · 1 filter

cs.CL2023

M2C: Towards Automatic Multimodal Manga Complement

Hongcheng Guo, Boyang Wang, Jiaqi Bai +3

Multimodal manga analysis focuses on enhancing manga understanding with visual and textual features, which has attracted considerable attention from both natural language processin…

cs.CL2023110 cited

Qwen Technical Report

Jinze Bai, Shuai Bai, Yunfei Chu +45

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling natural language processing tasks that were previously thought to be exclusive to hu…

cs.CL2023

Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation

Xianjie Wu, Jian Yang, Tongliang Li +4

Incorporating external knowledge into dialogue generation (KIDG) is crucial for improving the correctness of response, where evidence fragments serve as knowledgeable snippets supp…

cs.CL2023

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu +13

With the rapid development of IT operations, it has become increasingly crucial to efficiently manage and analyze large volumes of data for practical applications. The techniques o…

cs.CL2023

mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning

Ying Mo, Jian Yang, Jiahao Liu +4

Cross-lingual named entity recognition (CrossNER) faces challenges stemming from uneven performance due to the scarcity of multilingual corpora, especially for non-English data. Wh…

cs.CL2023

QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing

Linzheng Chai, Dongling Xiao, Jian Yang +5

Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries. Despite various methods have exploited context-dependence information implic…