| 2026 | ACL | Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding. | Da Li, Yuxiao Luo, Keping Bi, Jiafeng Guo, Wei Yuan, Biao Yang, Yan Wang, Fan Yang, Tingting Gao, Guorui Zhou |
| 2026 | ACL | How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality. | Minzhu Tu, Shiyu Ni, Keping Bi |
| 2026 | ACL | An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs. | Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning. | Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi |
| 2026 | SIGIR | Attention Grounded Enhancement for Visual Document Retrieval. | Wanqing Cui, Wei Huang, Yazhi Guo, Yibo Hu, Meiguang Jin, Junfeng Ma, Keping Bi |
| 2026 | SIGIR | Beyond Relevance: Utility-Centric Retrieval in the LLM Era. | Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo |
| 2026 | WSDM | How Do LLM-Generated Texts Impact Term-Based Retrieval Models? | Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. | Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng |
| 2025 | ACL | Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. | Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | CIKM | Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs. | Zhikai Ding, Shiyu Ni, Keping Bi |
| 2025 | EMNLP | Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation. | Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng |
| 2025 | ICLR | CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. | Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | WWW | Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. | Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng |
| 2024 | ACL | MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. | Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. | Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECIR | Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. | Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng |
| 2024 | EMNLP | LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. | Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng |
| 2024 | WSDM | A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng |
| 2023 | CIKM | L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. | Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng |
| 2023 | CIKM | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu |
| 2021 | EACL | AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. | Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz |
| 2021 | ICTIR | Asking Clarifying Questions Based on Negative Feedback in Conversational Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2021 | WWW | Leveraging User Behavior History for Personalized Email Search. | Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun |
| 2021 | SIGIR | Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2020 | SIGIR | A Transformer-based Embedding Model for Personalized Product Search. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2019 | CIKM | Conversational Product Search Based on Negative Feedback. | Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft |
| 2019 | CIKM | A Study of Context Dependencies in Multi-page Product Search. | Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft |
| 2019 | ECIR | Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. | Keping Bi, Qingyao Ai, W. Bruce Croft |
| 2019 | SIGIR | Leverage Implicit Feedback for Context-aware Product Search. | Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft |
| 2018 | SIGIR | Learning a Deep Listwise Context Model for Ranking Refinement. | Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft |
| 2018 | SIGIR | Unbiased Learning to Rank with Unbiased Propensity Estimation. | Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft |
| 2017 | SIGIR | Learning a Hierarchical Embedding Model for Personalized Product Search. | Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft |
| 2012 | WSDM | Extracting search-focused key n-grams for relevance ranking in web search. | Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao |