| 2026 | ACL | Making Large Language Models Efficient Dense Retrievers. | Yibin Lei, Shwai He, Ang Li, Andrew Yates |
| 2026 | EACL | What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs. | Xinlan Yan, Di Wu, Yibin Lei, Christof Monz, Iacer Calixto |
| 2026 | ECIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2025 | ACL | Enhancing Lexicon-Based Text Embeddings with Large Language Models. | Yibin Lei, Tao Shen, Yu Cao, Andrew Yates |
| 2025 | EMNLP | ThinkQE: Query Expansion via an Evolving Thinking Process. | Yibin Lei, Tao Shen, Andrew Yates |
| 2025 | EMNLP | SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models. | Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates |
| 2025 | SIGIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2024 | ACL | Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. | Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang |
| 2024 | ACL | Meta-Task Prompting Elicits Embeddings from Large Language Models. | Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates |
| 2024 | EACL | Corpus-Steered Query Expansion with Large Language Models. | Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates |
| 2024 | EMNLP | Representational Isomorphism and Alignment of Multilingual Large Language Models. | Di Wu, Yibin Lei, Andrew Yates, Christof Monz |
| 2023 | ACL | Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. | Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao |
| 2022 | NAACL | Phrase-level Textual Adversarial Attack with Label Preservation. | Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy |