Papers by Rongsheng Lin
Youling: an AI-assisted Lyrics Creation System (2020.emnlp-demos)
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Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang
| Challenge: | Recent studies have focused on a single pass of lyrics generation with little human intervention. |
| Approach: | They propose an AI-assisted lyrics creation system that supports one pass full-text generation and interactive generation modes. |
| Outcome: | The proposed system supports full-text generation and interactive generation modes . it also provides a revision module which enables users to revise undesired lyrics repeatedly. |
Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration (2025.findings-naacl)
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| Challenge: | Existing research focuses on the optimization of prompts and improvements in workflow, with few studies delving into the exploration of the questions. |
| Approach: | They propose a text-to-SQL framework based on question classification and multi-agent collaboration (QCMA-Sql) they employ multiple cross-attention mechanisms to train a schema selector to classify questions and select the most suitable database schema. |
| Outcome: | The proposed framework outperforms state-of-the-art methods on the Spider dataset and achieves 87.4% execution accuracy. |
Sudowoodo: A Chinese Lyric Imitation System with Source Lyrics (2023.emnlp-demo)
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| Challenge: | Existing studies on lyrics generation focus on generating accurate lyrics using keywords, rhymes, etc. However, there is no parallel corpus for lyrics imitation. |
| Approach: | They propose a Chinese lyrics imitation system that can generate new lyrics based on source lyrics. |
| Outcome: | The proposed system can generate new lyrics based on the source lyrics . human evaluation shows it can perform better lyric imitation. |