Papers by Qianyu Feng
Uncovering Limitations in Text-to-Image Generation: A Contrastive Approach with Structured Semantic Alignment (2023.findings-emnlp)
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| Challenge: | a new method for text-to-image generation models is proposed to address these limitations . SSA focuses on learning structured semantic embeddings across different modalities . |
| Approach: | They propose a method to evaluate text-to-image generation models using structured semantic embeddings . they propose to learn mutated prompts by substituting words with equivalent or nonequivalent alternatives . |
| Outcome: | The proposed method improves the measurement of semantic consistency of text-to-image generation models. |
Mastering the Craft of Data Synthesis for CodeLLMs (2025.naacl-long)
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Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Duc Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li
| Challenge: | Large language models (LLMs) have shown impressive performance in code understanding and generation. |
| Approach: | They propose a systematic review of large language models and their taxonomy and propose specialized LLMs for code-related tasks. |
| Outcome: | The proposed models have shown to be highly effective in coding tasks. |