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Existing explanation models generate only text for recommendations but still struggle to produce diverse contents.
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics. In Proceedings of the second international conference on Human Language Technology Research . 138–145
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Representation learning with contrastive predictive coding
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A structured review of the validity of BLEU
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Practical Diversified Recommendations on YouTube with Determinantal Point Processes
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Personalized Bundle List Recommendation
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BLEURT: Learning robust metrics for text generation
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Contrastive Learning for Sequential Recommendation
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2019 · 2019
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Persona-Aware Tips Generation?
Piji Li, Zihao Wang, Lidong Bing, and Wai Lam. 2019 · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . 188–197
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Language Models are Unsupervised Multitask Learners
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Multimodal review generation for recommender systems. In The World Wide Web Conference . 1864–1874
Quoc-Tuan Truong and Hady Lauw. 2019 · 2019
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CosRec: 2D convolutional neural networks for sequential recommendation. In Proceedings of the 28th ACM international conference on information and knowledge management . 2173–2176
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SimCSE: Simple Contrastive Learning of Sentence Embeddings
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CLIPScore: A Reference-free Evaluation Metric for Image Captioning
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Personalized Transformer for Explainable Recommendation. In ACL/IJCNLP
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Learning transferable visual models from natural language supervision
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How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, and Kurt Keutzer. 2021 · 2021
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Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
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L2C: Describing visual differences needs semantic understanding of individuals
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Contrastive learning for debiased candidate generation in large-scale recommender systems. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining . 3985–3995
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ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation
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Personalized complementary product recommendation. In Companion Proceedings of the Web Conference 2022 . 146–151
An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, and Julian McAuley. 2022a · 2022
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CLIP also Understands Text: Prompting CLIP for Phrase Understanding
An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, and Julian McAuley. 2022b · 2022
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Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel Eckstein, and William Yang Wang. 2022 · 2022
Closest in time.