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06/04/2023
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Passage retrieval is a fundamental task in many information systems, suc...
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06/02/2023
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
Search engine plays a crucial role in satisfying users' diverse informat...
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01/28/2023
Layout-aware Webpage Quality Assessment
Identifying high-quality webpages is fundamental for real-world search e...
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11/12/2022
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning
Detecting anomalous trajectories has become an important task in many lo...
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05/18/2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Neural retrievers based on pre-trained language models (PLMs), such as d...
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04/25/2022
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Passage re-ranking is to obtain a permutation over the candidate passage...
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06/07/2021
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
Retrieval is a crucial stage in web search that identifies a small set o...
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05/28/2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
Post-click conversion, as a strong signal indicating the user preference...
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03/05/2020
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning
Similar trajectory search is a fundamental problem and has been well stu...
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01/24/2019
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
Spatial-temporal prediction is a fundamental problem for constructing sm...
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11/27/2018