Harnessing Multimodal Large Language Models for Personalized Product Search with Query-aware Refinement

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Beibei, Lu, Yanan, Xie, Ruobing, Li, Zongyi, Xing, Siyuan, Ren, Tongwei, Lin, Fen
Format:	Preprint
Published:	2025
Subjects:	Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MTNet: Learning modality-aware representation with transformer for RGBT tracking
by: Hou, Ruichao, et al.
Published: (2025)

Multimodal LLM-based Query Paraphrasing for Video Search
by: Wu, Jiaxin, et al.
Published: (2024)

Multimodal Emotion Recognition with Large Language Models
by: Zhang, Hongrui, et al.
Published: (2026)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
by: Fu, Yuhan, et al.
Published: (2024)

KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
by: Li, Xingyuan, et al.
Published: (2025)

Hierarchical Refinement of Universal Multimodal Attacks on Vision-Language Models
by: Zhang, Peng-Fei, et al.
Published: (2026)

Personalized Image Generation with Large Multimodal Models
by: Xu, Yiyan, et al.
Published: (2024)

MM-InstructEval: Zero-Shot Evaluation of (Multimodal) Large Language Models on Multimodal Reasoning Tasks
by: Yang, Xiaocui, et al.
Published: (2024)

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement
by: Lu, Renjie, et al.
Published: (2026)

Spatial-Temporal Human-Object Interaction Detection
by: Sun, Xu, et al.
Published: (2025)

InconVAD: A Two-Stage Dual-Tower Framework for Multimodal Emotion Inconsistency Detection
by: Li, Zongyi, et al.
Published: (2025)

Large Language Models (LLMs): Deployment, Tokenomics and Sustainability
by: Dong, Haiwei, et al.
Published: (2024)

Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
by: Zhang, Bo, et al.
Published: (2024)

MMC: Iterative Refinement of VLM Reasoning via MCTS-based Multimodal Critique
by: Liu, Shuhang, et al.
Published: (2025)

TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
by: Xie, Jingjing, et al.
Published: (2024)

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding
by: Li, Zhu, et al.
Published: (2025)

MCSC-Bench: Multimodal Context-to-Script Creation for Realistic Video Production
by: Hu, Huanran, et al.
Published: (2026)

MaskSearch: Querying Image Masks at Scale
by: He, Dong, et al.
Published: (2023)

Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
by: He, Xin, et al.
Published: (2024)

Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
by: Lin, Yuxiang, et al.
Published: (2025)

Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
by: Diao, Xingjian, et al.
Published: (2025)

PRM-BAS: Enhancing Multimodal Reasoning through PRM-guided Beam Annealing Search
by: Hu, Pengfei, et al.
Published: (2025)

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model
by: Hu, Anwen, et al.
Published: (2023)

SpotSound: Enhancing Large Audio-Language Models with Fine-Grained Temporal Grounding
by: Sun, Luoyi, et al.
Published: (2026)

A Survey on Multimodal Benchmarks: In the Era of Large AI Models
by: Li, Lin, et al.
Published: (2024)

Multimodal Infusion Tuning for Large Models
by: Sun, Hao, et al.
Published: (2024)

Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models
by: Zhu, Hongyi, et al.
Published: (2024)

RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation
by: Yan, Feng, et al.
Published: (2024)

Can We Edit Multimodal Large Language Models?
by: Cheng, Siyuan, et al.
Published: (2023)

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models
by: Liu, Shuo, et al.
Published: (2024)

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion
by: Li, Linyu, et al.
Published: (2025)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
by: Bucciarelli, Davide, et al.
Published: (2024)

TAGF: Time-aware Gated Fusion for Multimodal Valence-Arousal Estimation
by: Lee, Yubeen, et al.
Published: (2025)

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning
by: Wang, Youze, et al.
Published: (2023)

Can Multimodal Large Language Models Understand Spatial Relations?
by: Liu, Jingping, et al.
Published: (2025)

Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning
by: Liu, Xinwei, et al.
Published: (2024)

Efficient Vision Language Model Fine-tuning for Text-based Person Anomaly Search
by: He, Jiayi, et al.
Published: (2025)

Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues
by: Fu, Junchen, et al.
Published: (2026)

Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
by: Liu, Shuo, et al.
Published: (2025)

Memento: Augmenting Personalized Memory via Practical Multimodal Wearable Sensing in Visual Search and Wayfinding Navigation
by: Ghosh, Indrajeet, et al.
Published: (2025)