Jiafeng Guo

Xueqi Cheng

CoRR, April, 2025

Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG.

[DOI]

CoRR, April, 2025

Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling.

[DOI]

CoRR, April, 2025

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

[DOI]

ACM Trans. Inf. Syst., March, 2025

GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking.

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2025

Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective.

[DOI]

CoRR, March, 2025

CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification.

[DOI]

CoRR, February, 2025

Estimating Commonsense Plausibility through Semantic Shifts.

[DOI]

CoRR, February, 2025

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.

[DOI]

CoRR, February, 2025

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance.

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

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

[DOI]

CoRR, 2024

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

[DOI]

CoRR, 2024

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

[DOI]

CoRR, 2024

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval.

[DOI]

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

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs.

[DOI]

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.

[DOI]

Proceedings of the Advances in Information Retrieval, 2024

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

[DOI]

Proceedings of the Information Retrieval - 30th China Conference, 2024

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

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning.

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CIR at the NTCIR-17 ULTRE-2 Task.

[DOI]

CoRR, 2023

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

[DOI]

CoRR, 2023

Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search.

[DOI]

CoRR, 2023

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

[DOI]

CoRR, 2023

A Comparative Study of Training Objectives for Clarification Facet Generation.

[DOI]

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.

[DOI]

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

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

[DOI]

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

2021

Leveraging User Behavior History for Personalized Email Search.

[DOI]

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

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

[DOI]

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.

[DOI]

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.

[DOI]

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.

[DOI]

ACM Trans. Inf. Syst., 2020

A Review-based Transformer Model for Personalized Product Search.

[DOI]

CoRR, 2020

A Transformer-based Embedding Model for Personalized Product Search.

[DOI]

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.

[DOI]

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

2019

Leverage Implicit Feedback for Context-aware Product Search.

[DOI]

Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

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

[DOI]

Proceedings of the Advances in Information Retrieval, 2019

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

[DOI]

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

Conversational Product Search Based on Negative Feedback.

[DOI]

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

2018

Revisiting Iterative Relevance Feedback for Document and Passage Retrieval.

[DOI]