Copertina

LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Taoyu, Zhang, Xinghua, Sheng, Jiawei, Zhang, Zhenyu, Liu, Tingwen
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment
di: Su, Taoyu, et al.
Pubblicazione: (2024)

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective
di: Su, Taoyu, et al.
Pubblicazione: (2025)

Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
di: Cui, Shiyao, et al.
Pubblicazione: (2023)

Verifying Cross-modal Entity Consistency in News using Vision-language Models
di: Tahmasebi, Sahar, et al.
Pubblicazione: (2025)

Unlocking the Power of Large Language Models for Multi-table Entity Matching
di: Tang, Yingkai, et al.
Pubblicazione: (2026)

Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
di: Wu, Zichen, et al.
Pubblicazione: (2024)

MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph
di: Yi, Xuan, et al.
Pubblicazione: (2024)

AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning
di: Gao, Jun, et al.
Pubblicazione: (2024)

Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
di: Wu, Qiong, et al.
Pubblicazione: (2024)

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
di: He, Zheqi, et al.
Pubblicazione: (2024)

MAC-SLU: Multi-Intent Automotive Cabin Spoken Language Understanding Benchmark
di: Peng, Yuezhang, et al.
Pubblicazione: (2025)

A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection
di: Hachmeier, Simon, et al.
Pubblicazione: (2024)

HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
di: Wang, Xiao, et al.
Pubblicazione: (2025)

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification
di: Liu, Yangyang, et al.
Pubblicazione: (2025)

Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction
di: Nguyen, Cam-Van Thi, et al.
Pubblicazione: (2023)

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection
di: Zhou, Ziyi, et al.
Pubblicazione: (2025)

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
di: Wang, Haofeng, et al.
Pubblicazione: (2025)

SkyLink: Unifying Street-Satellite Geo-Localization via UAV-Mediated 3D Scene Alignment
di: Zhang, Hongyang, et al.
Pubblicazione: (2025)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
di: Wu, Siwei, et al.
Pubblicazione: (2024)

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
di: Chen, Lichang, et al.
Pubblicazione: (2024)

Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model
di: Niu, Fuqiang, et al.
Pubblicazione: (2024)

Video Summarization: Towards Entity-Aware Captions
di: Ayyubi, Hammad A., et al.
Pubblicazione: (2023)

CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation
di: Zhu, Xiaofei, et al.
Pubblicazione: (2024)

NativE: Multi-modal Knowledge Graph Completion in the Wild
di: Zhang, Yichi, et al.
Pubblicazione: (2024)

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
di: Wang, Bingbing, et al.
Pubblicazione: (2025)

MMSD-Net: Towards Multi-modal Stuttering Detection
di: Nie, Liangyu, et al.
Pubblicazione: (2024)

Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
di: Mo, Wentao, et al.
Pubblicazione: (2026)

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
di: Zhang, Hanlei, et al.
Pubblicazione: (2024)

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
di: Zhou, Ziyi, et al.
Pubblicazione: (2024)

RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios
di: Zhao, Fei, et al.
Pubblicazione: (2025)

MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization
di: Chen, Tao, et al.
Pubblicazione: (2023)

PediatricsMQA: a Multi-modal Pediatrics Question Answering Benchmark
di: Bahaj, Adil, et al.
Pubblicazione: (2025)

Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
di: Ye, Weihao, et al.
Pubblicazione: (2024)

MultiVox: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions
di: Selvakumar, Ramaneswaran, et al.
Pubblicazione: (2025)

An Evaluation of Interleaved Instruction Tuning on Semantic Reasoning Performance in an Audio MLLM
di: Liu, Jiawei, et al.
Pubblicazione: (2025)

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
di: Zhang, Chong, et al.
Pubblicazione: (2024)

Hierarchical Local-Global Transformer for Temporal Sentence Grounding
di: Fang, Xiang, et al.
Pubblicazione: (2022)

Multi-MLLM Knowledge Distillation for Out-of-Context News Detection
di: Gu, Yimeng, et al.
Pubblicazione: (2025)

MMESGBench: Pioneering Multimodal Understanding and Complex Reasoning Benchmark for ESG Tasks
di: Zhang, Lei, et al.
Pubblicazione: (2025)