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08/19/2023
Large Language Models as Zero-Shot Conversational Recommenders
In this paper, we present empirical studies on conversational recommenda...
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06/04/2023
Generative Flow Network for Listwise Recommendation
Personalized recommender systems fulfill the daily demands of customers ...
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10/22/2022
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Recently, the generality of natural language text has been leveraged to ...
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09/28/2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation
Personalized natural language generation for explainable recommendations...
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07/26/2022
Bundle MCR: Towards Conversational Bundle Recommendation
Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...
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06/30/2022
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
Existing explanation models generate only text for recommendations but s...
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03/06/2022
Leashing the Inner Demons: Self-Detoxification for Language Models
Language models (LMs) can reproduce (or amplify) toxic language seen dur...
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09/01/2021
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
We investigate whether model extraction can be used to "steal" the weigh...
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08/22/2019
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
Generic Image recognition is a fundamental and fairly important visual p...
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12/06/2018
MEAL: Multi-Model Ensemble via Adversarial Learning
Often the best performing deep neural models are ensembles of multiple b...
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09/19/2018
NAIS: Neural Attentive Item Similarity Model for Recommendation
Item-to-item collaborative filtering (aka. item-based CF) has been long ...
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08/12/2018