Cover Image

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cui, Yu, Liu, Feng, Chen, Jiawei, Jin, Canghong, Lou, Xingyu, Zhang, Changwang, Wang, Jun, Sun, Yuegang, Wang, Can
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

Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
by: Wang, Bohao, et al.
Published: (2025)

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender
by: Wang, Bohao, et al.
Published: (2025)

Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
by: Cui, Yu, et al.
Published: (2025)

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation
by: Cui, Yu, et al.
Published: (2026)

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems
by: Tang, Heng, et al.
Published: (2025)

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation
by: Wang, Bohao, et al.
Published: (2024)

TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
by: Chen, Sirui, et al.
Published: (2026)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
by: Wang, Zihan, et al.
Published: (2025)

Enhancing High-order Interaction Awareness in LLM-based Recommender Model
by: Wang, Xinfeng, et al.
Published: (2024)

Beyong Tokens: Item-aware Attention for LLM-based Recommendation
by: Zhang, Xiaokun, et al.
Published: (2026)

RDRec: Rationale Distillation for LLM-based Recommendation
by: Wang, Xinfeng, et al.
Published: (2024)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
by: Yang, Weiqin, et al.
Published: (2026)

Token-level Collaborative Alignment for LLM-based Generative Recommendation
by: Lin, Fake, et al.
Published: (2026)

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

LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation
by: Sun, Yuqi, et al.
Published: (2025)

Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
by: Zhang, Yang, et al.
Published: (2023)

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
by: Yang, Weiqin, et al.
Published: (2025)

Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph
by: Zhang, Yuting, et al.
Published: (2026)

WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web
by: Zhao, Zihuai, et al.
Published: (2025)

Enhancing News Recommendation with Hierarchical LLM Prompting
by: Kieu, Hai-Dang, et al.
Published: (2025)

HMAR: Hierarchical Masked Attention for Multi-Behaviour Recommendation
by: Elsayed, Shereen, et al.
Published: (2024)

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

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
by: Wang, Shijie, et al.
Published: (2025)

DALI: LLM-Agent Enhanced Dual-Stream Adaptive Leadership Identification for Group Recommendations
by: Song, Boxun, et al.
Published: (2026)

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
by: Guo, Xu, et al.
Published: (2025)

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

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)

Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation
by: Chen, Pei, et al.
Published: (2026)

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

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)

LLM as Explainable Re-Ranker for Recommendation System
by: Wang, Yaqi, et al.
Published: (2025)

Distributionally Robust Graph-based Recommendation System
by: Wang, Bohao, et al.
Published: (2024)

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders
by: Xu, Cong, et al.
Published: (2024)

Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
by: Zhao, Yuchuan, et al.
Published: (2026)

Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
by: Wu, Yang, et al.
Published: (2026)

Multi-Grained Patch Training for Efficient LLM-based Recommendation
by: Liao, Jiayi, et al.
Published: (2025)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation
by: Dong, Kuiyao, et al.
Published: (2024)

Beyond Inter-Item Relations: Dynamic Adaption for Enhancing LLM-Based Sequential Recommendation
by: Liu, CanYi, et al.
Published: (2024)