Papers by Yifan Nie
ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities (2025.emnlp-main)
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| Challenge: | Existing research has explored model-driven strategies for prompt optimization, but these methods suffer from high computational overhead or require strong optimization capabilities from the model itself, which limits their broad applicability. |
| Approach: | They propose a framework that optimizes and generates role-playing prompts by limiting the prompt search space to role-player scenarios. |
| Outcome: | The proposed framework matches and surpasses existing prompt optimization methods in terms of performance. |
Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution (2025.naacl-industry)
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Syed Shariyar Murtaza, Yifan Nie, Elias Avan, Utkarsh Soni, Wanyu Liao, Adam Carnegie, Cyril John Mathias, Junlin Jiang, Eugene Wen
| Challenge: | generative AI models can extract accurate facts from external unstructureddata sources. |
| Approach: | They propose to use data embeddings to enhance RAG for retrieving facts from structured data sources, achieving low latency and high reliability. |
| Outcome: | The proposed model achieves low latency and high reliability and average response time of 7.33 seconds. |