Keping Bi

According to our database, Keping Bi authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.

Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, 2024

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, 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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning.

Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng

Proceedings of the Advances in Information Retrieval, 2024

2023

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.

Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng

CoRR, 2023

CIR at the NTCIR-17 ULTRE-2 Task.

Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, 2023

L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.

Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng

CoRR, 2023

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search.

Xiaojie Sun, Lulu Yu, Yiting Wang, Keping Bi, Jiafeng Guo

CoRR, 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

A Comparative Study of Training Objectives for Clarification Facet Generation.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.

Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Leveraging User Behavior History for Personalized Email Search.

Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.

Keping Bi, Qingyao Ai, W. Bruce Croft

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Asking Clarifying Questions Based on Negative Feedback in Conversational Search.

Keping Bi, Qingyao Ai, W. Bruce Croft

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization.

Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Explainable Product Search with a Dynamic Relation Embedding Model.

Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft

ACM Trans. Inf. Syst., 2020

A Review-based Transformer Model for Personalized Product Search.

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR, 2020

A Transformer-based Embedding Model for Personalized Product Search.

Keping Bi, Qingyao Ai, W. Bruce Croft

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization.

Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019

Leverage Implicit Feedback for Context-aware Product Search.

Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.

Keping Bi, Qingyao Ai, W. Bruce Croft

Proceedings of the Advances in Information Retrieval, 2019

A Study of Context Dependencies in Multi-page Product Search.

Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conversational Product Search Based on Negative Feedback.

Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR, 2018

Unbiased Learning to Rank with Unbiased Propensity Estimation.

Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning a Deep Listwise Context Model for Ranking Refinement.

Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

Learning a Hierarchical Embedding Model for Personalized Product Search.

Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2012

Extracting search-focused key n-grams for relevance ranking in web search.

Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012