Copertina

Unified Hallucination Detection for Multimodal Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Xiang, Wang, Chenxi, Xue, Yida, Zhang, Ningyu, Yang, Xiaoyan, Li, Qiang, Shen, Yue, Liang, Lei, Gu, Jinjie, Chen, Huajun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning Multimedia
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multimodal Misinformation Detection using Large Vision-Language Models
di: Tahmasebi, Sahar, et al.
Pubblicazione: (2024)

Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering
di: Zhou, Ao, et al.
Pubblicazione: (2025)

LightThinker++: From Reasoning Compression to Memory Management
di: Zhu, Yuqi, et al.
Pubblicazione: (2026)

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
di: Zhang, Chen, et al.
Pubblicazione: (2025)

LightThinker: Thinking Step-by-Step Compression
di: Zhang, Jintian, et al.
Pubblicazione: (2025)

Editing Conceptual Knowledge for Large Language Models
di: Wang, Xiaohan, et al.
Pubblicazione: (2024)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
di: Luo, Pengfei, et al.
Pubblicazione: (2025)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
di: Wei, Tianxin, et al.
Pubblicazione: (2024)

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment
di: Wang, Xiaohan, et al.
Pubblicazione: (2024)

MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
di: Wang, Haoyu, et al.
Pubblicazione: (2025)

PREMISE: Matching-based Prediction for Accurate Review Recommendation
di: Han, Wei, et al.
Pubblicazione: (2025)

CM$^3$: Calibrating Multimodal Recommendation
di: Zhou, Xin, et al.
Pubblicazione: (2025)

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
di: Zhan, Hao, et al.
Pubblicazione: (2026)

Automating Steering for Safe Multimodal Large Language Models
di: Wu, Lyucheng, et al.
Pubblicazione: (2025)

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

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
di: Zheng, Yongsen, et al.
Pubblicazione: (2025)

Learning Item Representations Directly from Multimodal Features for Effective Recommendation
di: Zhou, Xin, et al.
Pubblicazione: (2025)

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
di: Zhang, Lingzi, et al.
Pubblicazione: (2023)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
di: Zhou, Hongyu, et al.
Pubblicazione: (2025)

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
di: Chen, Zheyu, et al.
Pubblicazione: (2024)

FashionDPO:Fine-tune Fashion Outfit Generation Model using Direct Preference Optimization
di: Yu, Mingzhe, et al.
Pubblicazione: (2025)

From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
di: Li, Guohao, et al.
Pubblicazione: (2025)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
di: Xu, Jinfeng, et al.
Pubblicazione: (2025)

Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy
di: Mo, Feng, et al.
Pubblicazione: (2024)

Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
di: Ouyang, Kai, et al.
Pubblicazione: (2023)

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
di: Xu, Jinfeng, et al.
Pubblicazione: (2026)

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

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

MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval
di: Wu, Qiyu, et al.
Pubblicazione: (2025)

Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale
di: Pan, Yongsen, et al.
Pubblicazione: (2026)

Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling
di: Jiang, Wei, et al.
Pubblicazione: (2026)

Multimodal Learned Sparse Retrieval for Image Suggestion
di: Nguyen, Thong, et al.
Pubblicazione: (2024)

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions
di: Wang, Tianshi, et al.
Pubblicazione: (2023)

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
di: Li, Zhenyang, et al.
Pubblicazione: (2023)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
di: Liu, Qijiong, et al.
Pubblicazione: (2024)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
di: Zhang, Kangning, et al.
Pubblicazione: (2024)

OTCR: Optimal Transmission, Compression and Representation for Multimodal Information Extraction
di: Li, Yang, et al.
Pubblicazione: (2025)

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
di: Zhou, Xin, et al.
Pubblicazione: (2024)

Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
di: Ong, Rongqing Kenneth, et al.
Pubblicazione: (2024)

Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
di: Ma, Hongjian, et al.
Pubblicazione: (2026)