activity
20202024
most citedXGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

67 citations · 73 across the 8 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations

Nuo Chen, Zinan Zheng, Ning Wu +3

Existing research predominantly focuses on developing powerful language learning models (LLMs) for mathematical reasoning within monolingual languages, with few explorations in pre…

cs.IR2023

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation

Ning Wu, Ming Gong, Linjun Shou +2

Online recommender systems (RS) aim to match user needs with the vast amount of resources available on various platforms. A key challenge is to model user preferences accurately un…

cs.IR2023

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval

Houxing Ren, Linjun Shou, Ning Wu +2

In monolingual dense retrieval, lots of works focus on how to distill knowledge from cross-encoder re-ranker to dual-encoder retriever and these methods achieve better performance…

cs.IR2023

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval

Houxing Ren, Linjun Shou, Jian Pei +3

Recent multilingual pre-trained models have shown better performance in various multilingual tasks. However, these models perform poorly on multilingual retrieval tasks due to lack…

cs.CL2023★ 2 cited

Large Language Models are Diverse Role-Players for Summarization Evaluation

Ning Wu, Ming Gong, Linjun Shou +2

Text summarization has a wide range of applications in many scenarios. The evaluation of the quality of the generated text is a complex problem. A big challenge to language evaluat…