Papers by Fan Lou

3 papers
UniLG: A Unified Structure-aware Framework for Lyrics Generation (2023.acl-long)

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Challenge: Existing works ignore musical attributes hidden behind lyrics and structure of lyrics . existing works ignore structure of generated lyrics and do not consider structure of songs .
Approach: They propose a framework for conditional lyrics generation that considers structure and relationship between lyrics and music.
Outcome: The proposed framework improves the structure modeling and unifies different conditions for different types of lyrics generation.
MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection (2025.acl-long)

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Challenge: a rapid expansion of memes on social media highlights the need for effective methods to detect harmful content.
Approach: They propose a multi-agent framework for zero-shot harmful meme detection that does not rely on annotated data.
Outcome: The proposed framework outperforms existing zero-shot approaches on three meme datasets.
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL (2021.acl-long)

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Challenge: XDTS is a cross-database context-dependent text-to-sql problem with wide range of applications.
Approach: They present a large-scale Chinese dataset for cross-database context-dependent Text-to-SQL . they find that only 35% of questions are context-independent and 28% of SQL queries are easy .
Outcome: The proposed approach achieves an exact match accuracy of 40% over all questions and 16% over all question sequences.

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