Unifying Generative and Dense Retrieval for Sequential Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Liu, Paischer, Fabian, Hassani, Kaveh, Li, Jiacheng, Shao, Shuai, Li, Zhang Gabriel, He, Yun, Feng, Xue, Noorshams, Nima, Park, Sem, Long, Bo, Nowak, Robert D, Gao, Xiaoli, Eghbalzadeh, Hamid |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, et al.
Published: (2024)
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
by: Eghbalzadeh, Hamid, et al.
Published: (2025)
by: Eghbalzadeh, Hamid, et al.
Published: (2025)
Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals
by: Vandenhirtz, Moritz, et al.
Published: (2026)
by: Vandenhirtz, Moritz, et al.
Published: (2026)
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
by: Ramazanli, Ilqar, et al.
Published: (2025)
by: Ramazanli, Ilqar, et al.
Published: (2025)
Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
CantorNet: A Sandbox for Testing Geometrical and Topological Complexity Measures
by: Lewandowski, Michal, et al.
Published: (2024)
by: Lewandowski, Michal, et al.
Published: (2024)
The Fall of the Bibliographic Wall: Libraries and Archives in Unified Germany.
by: Sutter, Sem C.
Published: (1994)
by: Sutter, Sem C.
Published: (1994)
Intent-Enhanced Data Augmentation for Sequential Recommendation
by: Chen, Shuai, et al.
Published: (2024)
by: Chen, Shuai, et al.
Published: (2024)
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
by: Yang, Yuhao, et al.
Published: (2025)
by: Yang, Yuhao, et al.
Published: (2025)
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models
by: Eghbalzadeh, Hamid, et al.
Published: (2024)
by: Eghbalzadeh, Hamid, et al.
Published: (2024)
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
by: Schmied, Thomas, et al.
Published: (2024)
by: Schmied, Thomas, et al.
Published: (2024)
RePanda: Pandas-powered Tabular Verification and Reasoning
by: Chegini, Atoosa Malemir, et al.
Published: (2025)
by: Chegini, Atoosa Malemir, et al.
Published: (2025)
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
by: Lichtenberg, Jan Malte, et al.
Published: (2025)
by: Lichtenberg, Jan Malte, et al.
Published: (2025)
Convex Dataset Valuation for Post-Training
by: Zeng, Siqi, et al.
Published: (2026)
by: Zeng, Siqi, et al.
Published: (2026)
Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers
by: Plattner, Maximilian, et al.
Published: (2026)
by: Plattner, Maximilian, et al.
Published: (2026)
Linear Alignment of Vision-language Models for Image Captioning
by: Paischer, Fabian, et al.
Published: (2023)
by: Paischer, Fabian, et al.
Published: (2023)
User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance
by: Verghese, Mrinal, et al.
Published: (2024)
by: Verghese, Mrinal, et al.
Published: (2024)
Improving Dense Passage Retrieval with Multiple Positive Passages
by: Chang, Shuai
Published: (2025)
by: Chang, Shuai
Published: (2025)
Inductive Generative Recommendation via Retrieval-based Speculation
by: Ding, Yijie, et al.
Published: (2024)
by: Ding, Yijie, et al.
Published: (2024)
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
by: Cui, Ziqiang, et al.
Published: (2025)
by: Cui, Ziqiang, et al.
Published: (2025)
Purely Semantic Indexing for LLM-based Generative Recommendation and Retrieval
by: Zhang, Ruohan, et al.
Published: (2025)
by: Zhang, Ruohan, et al.
Published: (2025)
Intent-Guided Reasoning for Sequential Recommendation
by: Shao, Yifan, et al.
Published: (2025)
by: Shao, Yifan, et al.
Published: (2025)
On Space Folds of ReLU Neural Networks
by: Lewandowski, Michal, et al.
Published: (2025)
by: Lewandowski, Michal, et al.
Published: (2025)
TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
by: Zhou, Yifeng, et al.
Published: (2026)
by: Zhou, Yifeng, et al.
Published: (2026)
Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring
by: Huang, Sirui, et al.
Published: (2026)
by: Huang, Sirui, et al.
Published: (2026)
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
by: Zhang, Shunyu, et al.
Published: (2023)
by: Zhang, Shunyu, et al.
Published: (2023)
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
by: Park, Seongwan, et al.
Published: (2025)
by: Park, Seongwan, et al.
Published: (2025)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Unified Active Retrieval for Retrieval Augmented Generation
by: Cheng, Qinyuan, et al.
Published: (2024)
by: Cheng, Qinyuan, et al.
Published: (2024)
MultiBalance: Multi-Objective Gradient Balancing in Industrial-Scale Multi-Task Recommendation System
by: He, Yun, et al.
Published: (2024)
by: He, Yun, et al.
Published: (2024)
ANTIC: Adaptive Neural Temporal In-situ Compressor
by: Cranganore, Sandeep S., et al.
Published: (2026)
by: Cranganore, Sandeep S., et al.
Published: (2026)
RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
Domain-Adaptive and Scalable Dense Retrieval for Content-Based Recommendation
by: Pandey, Mritunjay
Published: (2026)
by: Pandey, Mritunjay
Published: (2026)
Fundamentos de Derecho Procesal Penal. Nieva Fenoll, Jordi, Editorial B de F, Buenos Aires, 2012. 336 pp.
by: Sem Sandoval Reyes
Published: (2012)
by: Sem Sandoval Reyes
Published: (2012)
El derecho probatorio a la deriva Damaška, Mirjan R. (2015): traducción Joan Picó i Junoy, (Madrid, Editorial Marcial Pons), 158 pp.
by: Sem Sandoval Reyes
Published: (2016)
by: Sem Sandoval Reyes
Published: (2016)
DivNet: Diversity-Aware Self-Correcting Sequential Recommendation Networks
by: Xiao, Shuai, et al.
Published: (2024)
by: Xiao, Shuai, et al.
Published: (2024)
DReSD: Dense Retrieval for Speculative Decoding
by: Gritta, Milan, et al.
Published: (2025)
by: Gritta, Milan, et al.
Published: (2025)
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
by: Liu, Zheng, et al.
Published: (2023)
by: Liu, Zheng, et al.
Published: (2023)
Personalized Interpolation: Achieving Efficient Conversion Estimation with Flexible Optimization Windows
by: Zhang, Xin, et al.
Published: (2025)
by: Zhang, Xin, et al.
Published: (2025)
Similar Items
-
Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024) -
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
by: Eghbalzadeh, Hamid, et al.
Published: (2025) -
Multimodal Generative Recommendation for Fusing Semantic and Collaborative Signals
by: Vandenhirtz, Moritz, et al.
Published: (2026) -
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
by: Ramazanli, Ilqar, et al.
Published: (2025) -
Generating Long Semantic IDs in Parallel for Recommendation
by: Hou, Yupeng, et al.
Published: (2025)