Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework
Fuente:
arXiv
Saved in:
| Main Authors: | Ortego, Diego, Rodríguez, Marlon, Almagro, Mario, Dahiya, Kunal, Jiménez, David, SanMiguel, Juan C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
by: Dahiya, Kunal, et al.
Published: (2024)
by: Dahiya, Kunal, et al.
Published: (2024)
Fine-grained auxiliary learning for real-world product recommendation
by: Almagro, Mario, et al.
Published: (2025)
by: Almagro, Mario, et al.
Published: (2025)
Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024)
by: Kharbanda, Siddhant, et al.
Published: (2024)
Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC)
by: França, Celso, et al.
Published: (2025)
by: França, Celso, et al.
Published: (2025)
Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
by: Chen, Hao, et al.
Published: (2024)
by: Chen, Hao, et al.
Published: (2024)
Hi-SAM: A Hierarchical Structure-Aware Multi-modal Framework for Large-Scale Recommendation
by: Pan, Pingjun, et al.
Published: (2026)
by: Pan, Pingjun, et al.
Published: (2026)
Graph Contrastive Learning on Multi-label Classification for Recommendations
by: Wu, Jiayang, et al.
Published: (2025)
by: Wu, Jiayang, et al.
Published: (2025)
MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce
by: Jiang, Hao, et al.
Published: (2024)
by: Jiang, Hao, et al.
Published: (2024)
DocMMIR: A Framework for Document Multi-modal Information Retrieval
by: Li, Zirui, et al.
Published: (2025)
by: Li, Zirui, et al.
Published: (2025)
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models
by: Wang, Mengzhao, et al.
Published: (2024)
by: Wang, Mengzhao, et al.
Published: (2024)
Yambda-5B -- A Large-Scale Multi-modal Dataset for Ranking And Retrieval
by: Ploshkin, A., et al.
Published: (2025)
by: Ploshkin, A., et al.
Published: (2025)
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
by: Xv, Guipeng, et al.
Published: (2024)
by: Xv, Guipeng, et al.
Published: (2024)
M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models
by: Shin, Joongmin, et al.
Published: (2026)
by: Shin, Joongmin, et al.
Published: (2026)
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
by: Wu, Xinglong, et al.
Published: (2024)
by: Wu, Xinglong, et al.
Published: (2024)
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
by: Wei, Yibiao, et al.
Published: (2025)
by: Wei, Yibiao, et al.
Published: (2025)
Divergence Meets Consensus: A Multi-Source Negative Sampling Framework for Sequential Recommendation
by: Li, Yuanzi, et al.
Published: (2026)
by: Li, Yuanzi, et al.
Published: (2026)
Multi-modal Generative Models in Recommendation System
by: Ramisa, Arnau, et al.
Published: (2024)
by: Ramisa, Arnau, et al.
Published: (2024)
Generative Retrieval Meets Multi-Graded Relevance
by: Tang, Yubao, et al.
Published: (2024)
by: Tang, Yubao, et al.
Published: (2024)
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
by: Fu, Zichuan, et al.
Published: (2023)
by: Fu, Zichuan, et al.
Published: (2023)
VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
by: Tai, Zhenghan, et al.
Published: (2025)
by: Tai, Zhenghan, et al.
Published: (2025)
Cross-Domain Recommendation Meets Large Language Models
by: Vajjala, Ajay Krishna, et al.
Published: (2024)
by: Vajjala, Ajay Krishna, et al.
Published: (2024)
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
by: Li, Hongji, et al.
Published: (2025)
by: Li, Hongji, et al.
Published: (2025)
A Simple but Effective Closed-form Solution for Extreme Multi-label Learning
by: Onishi, Kazuma, et al.
Published: (2025)
by: Onishi, Kazuma, et al.
Published: (2025)
An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
by: Li, Youhua, et al.
Published: (2024)
by: Li, Youhua, et al.
Published: (2024)
Multi-modal Food Recommendation using Clustering and Self-supervised Learning
by: Zhang, Yixin, et al.
Published: (2024)
by: Zhang, Yixin, et al.
Published: (2024)
Multi-view-guided Passage Reranking with Large Language Models
by: Na, Jeongwoo, et al.
Published: (2025)
by: Na, Jeongwoo, et al.
Published: (2025)
Reinforcement Fine-Tuning for Reasoning towards Multi-Step Multi-Source Search in Large Language Models
by: Shi, Wentao, et al.
Published: (2025)
by: Shi, Wentao, et al.
Published: (2025)
Towards Transfer-Efficient Multi-modal Sequential Recommendation with State Space Duality
by: Fan, Hao, et al.
Published: (2025)
by: Fan, Hao, et al.
Published: (2025)
An Extreme Multi-label Text Classification (XMTC) Library Dataset: What if we took "Use of Practical AI in Digital Libraries" seriously?
by: D'Souza, Jennifer, et al.
Published: (2026)
by: D'Souza, Jennifer, et al.
Published: (2026)
Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries
by: Erfanian, Mahdi, et al.
Published: (2024)
by: Erfanian, Mahdi, et al.
Published: (2024)
Unified Learning-to-Rank for Multi-Channel Retrieval in Large-Scale E-Commerce Search
by: Gaydhani, Aditya, et al.
Published: (2026)
by: Gaydhani, Aditya, et al.
Published: (2026)
Large-Scale Multi-Domain Recommendation: an Automatic Domain Feature Extraction and Personalized Integration Framework
by: Xi, Dongbo, et al.
Published: (2024)
by: Xi, Dongbo, et al.
Published: (2024)
Leveraging Intra-modal and Inter-modal Interaction for Multi-Modal Entity Alignment
by: Hu, Zhiwei, et al.
Published: (2024)
by: Hu, Zhiwei, et al.
Published: (2024)
Relevance Matters: A Multi-Task and Multi-Stage Large Language Model Approach for E-commerce Query Rewriting
by: Dai, Aijun, et al.
Published: (2026)
by: Dai, Aijun, et al.
Published: (2026)
Multi-Aspect Cross-modal Quantization for Generative Recommendation
by: Zhang, Fuwei, et al.
Published: (2025)
by: Zhang, Fuwei, et al.
Published: (2025)
MDE: Modality Discrimination Enhancement for Multi-modal Recommendation
by: Zhou, Hang, et al.
Published: (2025)
by: Zhou, Hang, et al.
Published: (2025)
Differentially Private Motif-Preserving Multi-modal Hashing
by: Cheng, Zehua, et al.
Published: (2026)
by: Cheng, Zehua, et al.
Published: (2026)
MDF: A Dynamic Fusion Model for Multi-modal Fake News Detection
by: Lv, Hongzhen, et al.
Published: (2024)
by: Lv, Hongzhen, et al.
Published: (2024)
Collaborative Cross-modal Fusion with Large Language Model for Recommendation
by: Liu, Zhongzhou, et al.
Published: (2024)
by: Liu, Zhongzhou, et al.
Published: (2024)
MM-GEF: Multi-modal representation meet collaborative filtering
by: Wu, Hao, et al.
Published: (2023)
by: Wu, Hao, et al.
Published: (2023)
Similar Items
-
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
by: Dahiya, Kunal, et al.
Published: (2024) -
Fine-grained auxiliary learning for real-world product recommendation
by: Almagro, Mario, et al.
Published: (2025) -
Learning label-label correlations in Extreme Multi-label Classification via Label Features
by: Kharbanda, Siddhant, et al.
Published: (2024) -
Ranking-based Fusion Algorithms for Extreme Multi-label Text Classification (XMTC)
by: França, Celso, et al.
Published: (2025) -
Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
by: Chen, Hao, et al.
Published: (2024)