Cover Image

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xiaoyan, You, Juntao, Zhang, Yang, Wang, Wenjie, Cheng, Hong, Feng, Fuli, Ng, See-Kiong, Chua, Tat-Seng
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Federated Framework for LLM-based Recommendation
by: Zhao, Jujia, et al.
Published: (2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)

Learnable Item Tokenization for Generative Recommendation
by: Wang, Wenjie, et al.
Published: (2024)

Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)

Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)

Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)

Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)

NextMem: Towards Latent Factual Memory for LLM-based Agents
by: Zhang, Zeyu, et al.
Published: (2026)

Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)

Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)

SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
by: Li, Haoxuan, et al.
Published: (2025)

Personalized Generation In Large Model Era: A Survey
by: Xu, Yiyan, et al.
Published: (2025)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
by: Xu, Yiyan, et al.
Published: (2025)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform
by: Zhang, Jizhi, et al.
Published: (2024)

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
by: Wang, Chengbing, et al.
Published: (2025)

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
by: Dai, Sunhao, et al.
Published: (2025)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
by: Zhang, Shengyu, et al.
Published: (2024)

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)

Verifiable Reasoning for LLM-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2026)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
by: Wang, Lin, et al.
Published: (2026)

A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)

NextAds: Towards Next-generation Personalized Video Advertising
by: Xu, Yiyan, et al.
Published: (2026)

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
by: Yang, Chaoqun, et al.
Published: (2025)

Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
by: Weng, Yan, et al.
Published: (2025)

Learning to Ask Critical Questions for Assisting Product Search
by: Li, Zixuan, et al.
Published: (2024)

Proactive Recommendation with Iterative Preference Guidance
by: Bi, Shuxian, et al.
Published: (2024)

Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)

Brownian Bridge Diffusion for Sequential Recommendation
by: Bai, Yimeng, et al.
Published: (2025)

Understanding Long Videos via LLM-Powered Entity Relation Graphs
by: Chu, Meng, et al.
Published: (2025)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
by: Bao, Keqin, et al.
Published: (2024)

A Taxation Perspective for Fair Re-ranking
by: Xu, Chen, et al.
Published: (2024)

A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
by: Xu, Chen, et al.
Published: (2025)

Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
by: Chang, He, et al.
Published: (2025)

Preference Diffusion for Recommendation
by: Liu, Shuo, et al.
Published: (2024)