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Actions Speak Louder than Words: Trillion-Parameter Sequential
  Transducers for Generative Recommendations

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

27 February 2024
Jiaqi Zhai
Lucy Liao
Xing Liu
Yueming Wang
Rui Li
Xuan Cao
Leon Gao
Zhaojie Gong
Fangda Gu
Michael He
Yin-Hua Lu
Yu Shi
    OffRL
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Papers citing "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations"

26 / 26 papers shown
Title
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao
Yue Meng
Cheng Guo
Yi Cao
Tong Liu
Bo Zheng
26
0
0
12 May 2025
Towards Large-scale Generative Ranking
Towards Large-scale Generative Ranking
Yanhua Huang
Y. Chen
Xiong Cao
Rui Yang
Mingliang Qi
...
L. Chen
Weihang Chen
Min Zhu
Ruiwen Xu
Lei Zhang
45
0
0
07 May 2025
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics
Cong Xu
Wenbin Liang
Mo Yu
Anan Liu
K. Zhang
Lizhuang Ma
J. Wang
J. Wang
W. Zhang
MQ
51
0
0
01 May 2025
Quadratic Interest Network for Multimodal Click-Through Rate Prediction
Quadratic Interest Network for Multimodal Click-Through Rate Prediction
Honghao Li
Hanwei Li
Jing Zhang
Yi-hong Zhang
Ziniu Yu
Lei Sang
Yiwen Zhang
107
0
0
24 Apr 2025
Integrating Textual Embeddings from Contrastive Learning with Generative Recommender for Enhanced Personalization
Integrating Textual Embeddings from Contrastive Learning with Generative Recommender for Enhanced Personalization
Yijun Liu
AI4TS
21
0
0
13 Apr 2025
Revisiting Self-Attentive Sequential Recommendation
Revisiting Self-Attentive Sequential Recommendation
Zan Huang
BDL
47
0
0
13 Apr 2025
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
PinRec: Outcome-Conditioned, Multi-Token Generative Retrieval for Industry-Scale Recommendation Systems
Anirudhan Badrinath
Prabhat Agarwal
Laksh Bhasin
Jaewon Yang
Jiajing Xu
Charles R. Rosenberg
LRM
38
0
0
09 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng
Enze Liu
Z. Chen
Zhongrui Ma
Yue Wang
Wayne Xin Zhao
Ji-Rong Wen
33
0
0
06 Apr 2025
Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction
Y. Xu
Zhiyuan Lu
X. Li
Jinxin Hu
Hong Wen
Z. Chen
Yu Zhang
Jing-Xuan Zhang
40
0
0
14 Mar 2025
Multi-Behavior Recommender Systems: A Survey
Kyungho Kim
Sunwoo Kim
Geon Lee
Jinhong Jung
Kijung Shin
AI4CE
62
0
0
10 Mar 2025
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
Hao Wang
Wei Guo
L. Zhang
Jin Yao Chin
Yufei Ye
Huifeng Guo
Y. Liu
Defu Lian
Ruiming Tang
Enhong Chen
56
1
0
20 Feb 2025
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation
Gabriel Patron
Zhiwei Xu
Ishan Kapnadak
Felipe Maia Polo
DiffM
38
0
0
05 Feb 2025
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
Hamed Firooz
Maziar Sanjabi
Adrian Englhardt
Aman Gupta
Ben Levine
...
Xiaoling Zhai
Ya Xu
Yu Wang
Yun Dai
Yun Dai
ALM
42
3
0
27 Jan 2025
Preference Diffusion for Recommendation
Preference Diffusion for Recommendation
Shuo Liu
An Zhang
Guoqing Hu
Hong Qian
Tat-Seng Chua
53
1
0
17 Oct 2024
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Yejin Lee
Anna Y. Sun
Basil Hosmer
Bilge Acun
Can Balioglu
...
Ram Pasunuru
Scott Yih
Sravya Popuri
Xing Liu
Carole-Jean Wu
52
2
0
30 Sep 2024
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems
Peng Liu
Jiawei Zhu
Cong Xu
Ming Zhao
Bin Wang
31
1
0
18 Sep 2024
ELASTIC: Efficient Linear Attention for Sequential Interest Compression
Jiaxin Deng
Shiyao Wang
Song Lu
Yinfeng Li
Xinchen Luo
Yuanjun Liu
Peixing Xu
Guorui Zhou
39
0
0
18 Aug 2024
Diffusion Model for Slate Recommendation
Diffusion Model for Slate Recommendation
Federico Tomasi
Francesco Fabbri
M. Lalmas
Zhenwen Dai
DiffM
22
1
0
13 Aug 2024
On Softmax Direct Preference Optimization for Recommendation
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen
Junfei Tan
An Zhang
Zhengyi Yang
Leheng Sheng
Enzhi Zhang
Xiang Wang
Tat-Seng Chua
29
24
0
13 Jun 2024
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large
  Language Models in Cyber Threat Intelligence
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence
Hangyuan Ji
Jian Yang
Linzheng Chai
Chaoren Wei
Liqun Yang
...
Tianzhen Sun
Hongcheng Guo
Tongliang Li
Changyu Ren
Zhoujun Li
36
7
0
06 May 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang
Liang Luo
Yuxin Chen
Jade Nie
Xi Liu
...
Guna Lakshminarayanan
Ellie Wen
Jongsoo Park
Maxim Naumov
Wenlin Chen
ALM
24
18
0
04 Mar 2024
ByteTransformer: A High-Performance Transformer Boosted for
  Variable-Length Inputs
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Yujia Zhai
Chengquan Jiang
Leyuan Wang
Xiaoying Jia
Shang Zhang
Zizhong Chen
Xin Liu
Yibo Zhu
62
48
0
06 Oct 2022
Transformer Quality in Linear Time
Transformer Quality in Linear Time
Weizhe Hua
Zihang Dai
Hanxiao Liu
Quoc V. Le
71
222
0
21 Feb 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
245
695
0
27 Aug 2021
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
D. Khudia
Jianyu Huang
Protonu Basu
Summer Deng
Haixin Liu
Jongsoo Park
M. Smelyanskiy
FedML
MQ
49
46
0
13 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
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