Keping Bi

Orcid: 0000-0001-5123-4999

According to our database1, Keping Bi authored at least 67 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Beyond Relevance: Utility-Centric Retrieval in the LLM Era.
CoRR, April, 2026

How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality.
CoRR, April, 2026

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers.
CoRR, April, 2026

AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation.
CoRR, March, 2026

Reconstructing Content via Collaborative Attention to Improve Multimodal Embedding Quality.
CoRR, March, 2026

Training Dense Retrievers with Multiple Positive Passages.
CoRR, February, 2026

Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers.
CoRR, February, 2026

Bagging-Based Model Merging for Robust General Text Embeddings.
CoRR, February, 2026

How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025
Attention Grounded Enhancement for Visual Document Retrieval.
CoRR, November, 2025

Compression then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding.
CoRR, November, 2025

Can LLM Annotations Replace User Clicks for Learning to Rank?
CoRR, November, 2025

Annotation-Efficient Universal Honesty Alignment.
CoRR, October, 2025

The Role of Parametric Injection-A Systematic Study of Parametric Retrieval-Augmented Generation.
CoRR, October, 2025

LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation.
CoRR, October, 2025

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception.
CoRR, May, 2025

Bridging Queries and Tables through Entities in Table Retrieval.
CoRR, April, 2025

Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG.
CoRR, April, 2025

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling.
CoRR, April, 2025

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
ACM Trans. Inf. Syst., March, 2025

GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking.
IEEE Trans. Knowl. Data Eng., March, 2025

Estimating Commonsense Plausibility through Semantic Shifts.
CoRR, February, 2025

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Distilling a Small Utility-Based Passage Selector to Enhance Retrieval-Augmented Generation.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

LifeIR at the NTCIR-18 Lifelog-6 Task.
Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Bridging Queries and Tables through Entities in Open-Domain Table Retrieval.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

A Comparative Study of Specialized LLMs as Dense Retrievers.
Proceedings of the Information Retrieval - 31st China Conference, 2025

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank.
CoRR, 2024

Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy.
CoRR, 2024

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning.
Proceedings of the Advances in Information Retrieval, 2024

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?
Proceedings of the Information Retrieval - 30th China Conference, 2024

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
CoRR, 2023

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search.
CoRR, 2023

Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank.
CoRR, 2023

A Comparative Study of Training Objectives for Clarification Facet Generation.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

CIR at the NTCIR-17 ULTRE-2 Task.
Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies, 2023

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Leveraging User Behavior History for Personalized Email Search.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search.
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.
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.
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.
ACM Trans. Inf. Syst., 2020

A Review-based Transformer Model for Personalized Product Search.
CoRR, 2020

A Transformer-based Embedding Model for Personalized Product Search.
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.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019
Leverage Implicit Feedback for Context-aware Product Search.
Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Iterative Relevance Feedback for Answer Passage Retrieval with Passage-Level Semantic Match.
Proceedings of the Advances in Information Retrieval, 2019

A Study of Context Dependencies in Multi-page Product Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conversational Product Search Based on Negative Feedback.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.
CoRR, 2018

Unbiased Learning to Rank with Unbiased Propensity Estimation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning a Deep Listwise Context Model for Ranking Refinement.
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.
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.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012


  Loading...