Extracting search-focused key n-grams for relevance ranking in web search. - Chen Wang; Keping Bi; Yunhua Hu; Hang Li 001; Guihong Cao (WSDM, 2012)

Learning a Hierarchical Embedding Model for Personalized Product Search. - Qingyao Ai; Yongfeng Zhang; Keping Bi; Xu Chen 017; W. Bruce Croft (SIGIR, 2017)

Learning a Deep Listwise Context Model for Ranking Refinement. - Qingyao Ai; Keping Bi; Jiafeng Guo; W. Bruce Croft (SIGIR, 2018)

Unbiased Learning to Rank with Unbiased Propensity Estimation. - Qingyao Ai; Keping Bi; Cheng Luo 001; Jiafeng Guo; W. Bruce Croft (SIGIR, 2018)

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. - Keping Bi; Qingyao Ai; W. Bruce Croft (CoRR, 2018)

Conversational Product Search Based on Negative Feedback. - Keping Bi; Qingyao Ai; Yongfeng Zhang; W. Bruce Croft (CIKM, 2019)

A Study of Context Dependencies in Multi-page Product Search. - Keping Bi; Choon Hui Teo; Yesh Dattatreya; Vijai Mohan; W. Bruce Croft (CIKM, 2019)

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. - Keping Bi; Qingyao Ai; W. Bruce Croft (ECIR (1), 2019)

Leverage Implicit Feedback for Context-aware Product Search. - Keping Bi; Choon Hui Teo; Yesh Dattatreya; Vijai Mohan; W. Bruce Croft (eCOM@SIGIR, 2019)

Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. - Rahul Jha; Keping Bi; Yang Li; Mahdi Pakdaman; Asli Celikyilmaz; Ivan Zhiboedov; Kieran McDonald (Eval4NLP, 2020)

A Transformer-based Embedding Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (SIGIR, 2020)

A Review-based Transformer Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (CoRR, 2020)

Explainable Product Search with a Dynamic Relation Embedding Model. - Qingyao Ai; Yongfeng Zhang; Keping Bi; W. Bruce Croft (ACM Trans. Inf. Syst., 2020)

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. - Keping Bi; Rahul Jha; W. Bruce Croft; Asli Celikyilmaz (EACL, 2021)

Asking Clarifying Questions Based on Negative Feedback in Conversational Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (ICTIR, 2021)

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. - Keping Bi; Qingyao Ai; W. Bruce Croft (SIGIR, 2021)

Leveraging User Behavior History for Personalized Email Search. - Keping Bi; Pavel Metrikov; Chunyuan Li; Byungki Byun (WWW, 2021)

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. - Yinqiong Cai; Keping Bi; Yixing Fan; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CIKM, 2023)

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 (CIKM, 2023)

CIR at the NTCIR-17 ULTRE-2 Task. - Lulu Yu; Keping Bi; Jiafeng Guo; Xueqi Cheng (NTCIR, 2023)

A Comparative Study of Training Objectives for Clarification Facet Generation. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (SIGIR-AP, 2023)

Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank. - Lulu Yu; Yiting Wang; Xiaojie Sun; Keping Bi; Jiafeng Guo (CoRR, 2023)

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search. - Xiaojie Sun; Lulu Yu; Yiting Wang; Keping Bi; Jiafeng Guo (CoRR, 2023)

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. - Yinqiong Cai; Keping Bi; Yixing Fan; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CoRR, 2023)

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. - Wanqing Cui; Keping Bi; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2024)

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2024)

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? - Shiyu Ni; Keping Bi; Lulu Yu; Jiafeng Guo (CCIR, 2024)

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. - Keping Bi; Xiaojie Sun; Jiafeng Guo; Xueqi Cheng (ECIR (4), 2024)

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. - Sihui Yang; Keping Bi; Wanqing Cui; Jiafeng Guo; Xueqi Cheng (EMNLP (Findings), 2024)

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. - Mingkun Zhang; Keping Bi; Wei Chen 034; Quanrun Chen; Jiafeng Guo; Xueqi Cheng (NeurIPS, 2024)

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 (WSDM, 2024)

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. - Hengran Zhang; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2024)

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank. - Lulu Yu; Keping Bi; Shiyu Ni; Jiafeng Guo (CoRR, 2024)

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. - Shiyu Ni; Keping Bi; Jiafeng Guo; Lulu Yu; Baolong Bi; Xueqi Cheng (ACL (1), 2025)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. - Yuchen Wen; Keping Bi; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ACL (Findings), 2025)

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. - Mingkun Zhang; Keping Bi; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (ICLR, 2025)

LifeIR at the NTCIR-18 Lifelog-6 Task. - Jiahan Chen; Da Li; Keping Bi (NTCIR, 2025)

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 (WWW (Companion Volume), 2025)

Estimating Commonsense Plausibility through Semantic Shifts. - Wanqing Cui; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. - Da Li; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. - Xueqi Cheng; Yuanzheng Wang; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Keping Bi (IEEE Trans. Knowl. Data Eng., 2025)

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. - Jiafeng Guo; Yinqiong Cai; Keping Bi; Yixing Fan; Wei Chen 034; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2025)

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling. - Hengran Zhang; Keping Bi; Jiafeng Guo; Xiaojie Sun; Shihao Liu; Daiting Shi; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG. - Hengran Zhang; Minghao Tang; Keping Bi; Jiafeng Guo; Shihao Liu; Daiting Shi; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Bridging Queries and Tables through Entities in Table Retrieval. - Da Li; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception. - Shiyu Ni; Keping Bi; Jiafeng Guo; Xueqi Cheng (CoRR, 2025)

A Comparative Study of Specialized LLMs as Dense Retrievers. - Hengran Zhang; Keping Bi; Jiafeng Guo (CoRR, 2025)

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation. - Hengran Zhang; Keping Bi; Jiafeng Guo; Jiaming Zhang; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation. - Minghao Tang; Shiyu Ni; Jiafeng Guo; Keping Bi (CoRR, 2025)