Publications | Keping Bi

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning

Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng

Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024

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

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024

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

Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng

Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV

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, WSDM 2024, Merida, Mexico, March 4-8, 2024

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy

Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective

Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng

CoRR

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?

Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo

CoRR

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank

Lulu Yu, Keping Bi, Shiyu Ni, Jiafeng Guo

CoRR

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, CIKM 2023, Birmingham, United Kingdom, October 21-25, 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, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

A Comparative Study of Training Objectives for Clarification Facet Generation

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023

Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank

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

CoRR

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search

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

CoRR

CIR at the NTCIR-17 ULTRE-2 Task

Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR

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

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, EACL 2021, Online, April 19 - 23, 2021

Asking Clarifying Questions Based on Negative Feedback in Conversational Search

Keping Bi, Qingyao Ai, W. Bruce Croft

ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021

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

Keping Bi, Qingyao Ai, W. Bruce Croft

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Leveraging User Behavior History for Personalized Email Search

Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun

WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

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, SIGIR 2020, Virtual Event, China, July 25-30, 2020

A Review-based Transformer Model for Personalized Product Search

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR

Explainable Product Search with a Dynamic Relation Embedding Model

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

ACM Trans. Inf. Syst.

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, Eval4NLP 2020, Online, November 20, 2020

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, CIKM 2019, Beijing, China, November 3-7, 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, CIKM 2019, Beijing, China, November 3-7, 2019.

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

Keping Bi, Qingyao Ai, W. Bruce Croft

Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I

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, co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019.

Learning a Deep Listwise Context Model for Ranking Refinement

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

The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

Unbiased Learning to Rank with Unbiased Propensity Estimation

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

The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval

Keping Bi, Qingyao Ai, W. Bruce Croft

CoRR

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, Shinjuku, Tokyo, Japan, August 7-11, 2017

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, WSDM 2012, Seattle, WA, USA, February 8-12, 2012