Bio

Hi! I'm a final-year PhD student in Computer Science and Engineering at Santa Clara University, working under the guidance of Professor Yi Fang, where I studied enhancing search systems with large language models, including query understanding, retrieval and reranking. Prior to that, I got my M.S. degree in Computer Science and engineering from Santa Clara University in 2020.

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News 🎉🎉

• Full paper "W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering" was recently accepted to SIGIR ICTIR 2025 .
• Full paper "ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions" was recently accepted to SIGIR 2025 Resource & Reproducibility Track.

Papers

Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers
Zhiyuan Peng, Ting-ruen Wei, Tingyu Song, Yilun Zhao, Yi Fang
arXiv 2025 | paper | code

ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions
Zhiyuan Peng*, Jinming Nian*, Alexandre Evfimievski, Yi Fang
SIGIR 2025 | paper | code | dataset

W-RAG: Weakly supervised dense retrieval in RAG for open-domain question answering
Jinming Nian, Zhiyuan Peng, Qifan Wang, Yi Fang
SIGIR ICTIR 2025 | paper | code

Soft prompt tuning for augmenting dense retrieval with large language models
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Yi Fang
Knowledge-Based Systems |2025| paper | code

Evaluating and enhancing large language models for novelty assessment in scholarly publications
Ethan Lin, Zhiyuan Peng, Yi Fang
AI & Scientific Discovery Workshop NAACL 2025| paper | code

Semi-supervised named entity recognition with data augmentation by structured consistency training
Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang
Expert Systems with Applications |2025| paper | code

Passage-specific Prompt Tuning for Passage Reranking in Question Answering with Large Language Models
Xuyang Wu, Zhiyuan Peng, Krishna Sravanthi Rajanala, Hsin-Tai Wu, Yi Fang
Workshop on Generative Information Retrieval 2024 | paper | code

Q-PEFT: Query-dependent parameter efficient fine-tuning for text reranking with large language models
Zhiyuan Peng, Xuyang Wu, Qifan Wang, Sravanthi Rajanala, Yi Fang
arXiv 2024 | paper | code

Entity-aware multi-task learning for query understanding at walmart
Zhiyuan Peng, Vachik Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala
KDD 2023 | paper | code

DIANES: a DEI audit toolkit for news sources
Xiaoxiao Shang, Zhiyuan Peng, Qiming Yuan, Sabiq Khan, Lauren Xie, Yi Fang, Subramaniam Vincent
SIGIR 2022 | paper | demo

Multi-label classification of short texts with label correlated recurrent neural networks
Zhiyuan Peng, Behnoush Abdollahi, Min Xie, Yi Fang
SIGIR ICTIR 2021 | paper | code

Last Update: July 2025