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2020 – today
- 2025
[j2]Xueqi Cheng
, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi:
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. IEEE Trans. Knowl. Data Eng. 37(3): 1213-1226 (2025)- [i36]Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng:
Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. CoRR abs/2502.11414 (2025) - [i35]Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. CoRR abs/2502.11677 (2025) - [i34]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Estimating Commonsense Plausibility through Semantic Shifts. CoRR abs/2502.13464 (2025) - [i33]Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. CoRR abs/2502.18176 (2025) - [i32]Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. CoRR abs/2503.02251 (2025) - 2024
- [c24]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) 2024: 1178-1192 - [c23]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388 - [c22]Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo:
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? CCIR 2024: 124-135 - [c21]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) 2024: 194-209 - [c20]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. EMNLP (Findings) 2024: 6985-7000 - [c19]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. NeurIPS 2024 - [c18]Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM 2024: 674-682 - [i31]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR abs/2401.03648 (2024) - [i30]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024) - [i29]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR abs/2402.13625 (2024) - [i28]Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR abs/2406.11290 (2024) - [i27]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024) - [i26]Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo:
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? CoRR abs/2408.09773 (2024) - [i25]Lulu Yu, Keping Bi, Shiyu Ni, Jiafeng Guo:
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank. CoRR abs/2408.09817 (2024) - [i24]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. CoRR abs/2409.14744 (2024) - [i23]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. CoRR abs/2410.23091 (2024) - 2023
- [c17]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM 2023: 183-192 - [c16]Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu:
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. CIKM 2023: 4300-4304 - [c15]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. SIGIR-AP 2023: 1-10 - [i22]Lulu Yu, Yiting Wang, Xiaojie Sun, Keping Bi, Jiafeng Guo:
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank. CoRR abs/2302.07530 (2023) - [i21]Xiaojie Sun, Lulu Yu, Yiting Wang, Keping Bi, Jiafeng Guo:
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search. CoRR abs/2302.09340 (2023) - [i20]Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu:
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. CoRR abs/2308.11474 (2023) - [i19]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CoRR abs/2308.11512 (2023) - [i18]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. CoRR abs/2310.00703 (2023) - [i17]Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng:
CIR at the NTCIR-17 ULTRE-2 Task. CoRR abs/2310.11852 (2023) - [i16]Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. CoRR abs/2311.02834 (2023) - [i15]Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. CoRR abs/2312.02538 (2023) - 2021
- [c14]Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz:
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. EACL 2021: 281-291 - [c13]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. ICTIR 2021: 157-166 - [c12]Keping Bi, Qingyao Ai, W. Bruce Croft:
Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. SIGIR 2021: 123-132 - [c11]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. WWW 2021: 2858-2868 - [i14]Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. CoRR abs/2102.07279 (2021) - [i13]Keping Bi, Qingyao Ai, W. Bruce Croft:
Asking Clarifying Questions Based on Negative Feedback in Conversational Search. CoRR abs/2107.05760 (2021) - 2020
- [j1]Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. ACM Trans. Inf. Syst. 38(1): 4:1-4:29 (2020) - [c10]Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. Eval4NLP 2020: 69-78 - [c9]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. SIGIR 2020: 1521-1524 - [i12]Keping Bi, Rahul Jha, W. Bruce Croft, Asli Celikyilmaz:
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. CoRR abs/2004.06176 (2020) - [i11]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Review-based Transformer Model for Personalized Product Search. CoRR abs/2004.09424 (2020) - [i10]Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboedov, Kieran McDonald:
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization. CoRR abs/2005.02146 (2020) - [i9]Keping Bi, Qingyao Ai, W. Bruce Croft:
A Transformer-based Embedding Model for Personalized Product Search. CoRR abs/2005.08936 (2020)
2010 – 2019
- 2019
- [c8]Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. CIKM 2019: 359-368 - [c7]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. CIKM 2019: 2333-2336 - [c6]Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match. ECIR (1) 2019: 558-572 - [c5]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
Leverage Implicit Feedback for Context-aware Product Search. eCOM@SIGIR 2019 - [i8]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
Leverage Implicit Feedback for Context-aware Product Search. CoRR abs/1909.02065 (2019) - [i7]Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft:
Conversational Product Search Based on Negative Feedback. CoRR abs/1909.02071 (2019) - [i6]Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft:
A Study of Context Dependencies in Multi-page Product Search. CoRR abs/1909.04031 (2019) - [i5]Qingyao Ai, Yongfeng Zhang, Keping Bi, W. Bruce Croft:
Explainable Product Search with a Dynamic Relation Embedding Model. CoRR abs/1909.07212 (2019) - 2018
- [c4]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. SIGIR 2018: 135-144 - [c3]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. SIGIR 2018: 385-394 - [i4]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. CoRR abs/1804.05936 (2018) - [i3]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. CoRR abs/1804.05938 (2018) - [i2]Keping Bi, Qingyao Ai, W. Bruce Croft:
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval. CoRR abs/1812.05731 (2018) - [i1]Keping Bi, Qingyao Ai, W. Bruce Croft:
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match. CoRR abs/1812.08870 (2018) - 2017
- [c2]Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft:
Learning a Hierarchical Embedding Model for Personalized Product Search. SIGIR 2017: 645-654 - 2012
- [c1]Chen Wang, Keping Bi, Yunhua Hu, Hang Li, Guihong Cao:
Extracting search-focused key n-grams for relevance ranking in web search. WSDM 2012: 343-352
Coauthor Index
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last updated on 2025-04-09 21:19 CEST by the dblp team
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