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Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation

10 April 2025

Papers citing "Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation"

21 / 21 papers shown

Title
Hate Speech Detection with Generalizable Target-aware Fairness Tong Chen Danny Wang Xurong Liang Marten Risius Gianluca Demartini Hongzhi Yin 72 4 0 28 May 2024
Representation Learning with Large Language Models for Recommendation Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang Dawei Yin Chao Huang 177 171 0 24 Oct 2023
LLaMA: Open and Efficient Foundation Language Models Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux ... Faisal Azhar Aurelien Rodriguez Armand Joulin Edouard Grave Guillaume Lample ALM PILM 1.5K 13,420 0 27 Feb 2023
One Embedder, Any Task: Instruction-Finetuned Text Embeddings Hongjin Su Weijia Shi Jungo Kasai Yizhong Wang Yushi Hu Mari Ostendorf Wen-tau Yih Noah A. Smith Luke Zettlemoyer Tao Yu 100 302 0 19 Dec 2022
Understanding Diffusion Models: A Unified Perspective Calvin Luo DiffM 90 347 0 25 Aug 2022
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Shijie Geng Shuchang Liu Zuohui Fu Yingqiang Ge Yongfeng Zhang VLM AI4TS 94 485 0 24 Mar 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 372 442 0 24 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 47 28 0 17 Jan 2022
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 70 107 0 10 May 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 443 10,591 0 17 Feb 2020
Learning Autoencoders with Relational Regularization Hongteng Xu Dixin Luo Ricardo Henao Svati Shah Lawrence Carin 52 43 0 07 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,671 0 06 Feb 2020
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 76 64 0 14 Sep 2018
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 167 2,442 0 20 Aug 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 181 1,241 0 16 Feb 2018
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang 83 600 0 30 May 2017
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 142 1,823 0 15 Jun 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 97 915 0 06 Feb 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 276 1,245 0 01 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,005 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014