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05/07/2023
Unified Demonstration Retriever for In-Context Learning
In-context learning is a new learning paradigm where a language model co...
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01/27/2023
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
Non-autoregressive translation (NAT) model achieves a much faster infere...
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08/14/2022
Forgetting Fast in Recommender Systems
Users of a recommender system may want part of their data being deleted,...
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04/05/2022
Micro-Behavior Encoding for Session-based Recommendation
Session-based Recommendation (SR) aims to predict the next item for reco...
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02/24/2022
Community Trend Prediction on Heterogeneous Graph in E-commerce
In online shopping, ever-changing fashion trends make merchants need to ...
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11/03/2020
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
In recent years, there are a large number of recommendation algorithms p...
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09/04/2020
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
Though the transformer architectures have shown dominance in many natura...
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05/18/2020
Hybrid Sequential Recommender via Time-aware Attentive Memory Network
Recommendation systems aim to assist users to discover most preferred co...
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02/20/2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Herb recommendation plays a crucial role in the therapeutic process of T...
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03/24/2009
