Cover Image

Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Yuhan, Xie, Ruobing, Liu, Jiazhen, Lan, Bangxiang, Sun, Xingwu, Kang, Zhanhui, Li, Xirong
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval
by: Lan, Bangxiang, et al.
Published: (2025)

PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset
by: Liu, Jiazhen, et al.
Published: (2024)

Beyond Coarse-Grained Matching in Video-Text Retrieval
by: Chen, Aozhu, et al.
Published: (2024)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
by: Compagnoni, Alberto, et al.
Published: (2025)

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
by: Ji, Yatai, et al.
Published: (2024)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
by: Wang, Xintong, et al.
Published: (2024)

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
by: Fazli, Mehrdad, et al.
Published: (2025)

Integrating Fine-Grained Audio-Visual Evidence for Robust Multimodal Emotion Reasoning
by: Zhao, Zhixian, et al.
Published: (2026)

Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
by: Li, Jinyuan, et al.
Published: (2024)

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
by: Liu, Fuxiao, et al.
Published: (2023)

Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring
by: Zhang, Dongxu, et al.
Published: (2026)

FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
by: Chen, Qian, et al.
Published: (2026)

Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
by: Wu, Jiaying, et al.
Published: (2025)

DetailVerifyBench: A Benchmark for Dense Hallucination Localization in Long Image Captions
by: Wang, Xinran, et al.
Published: (2026)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
by: Baraldi, Lorenzo, et al.
Published: (2025)

Multi-task Prompt Words Learning for Social Media Content Generation
by: Xue, Haochen, et al.
Published: (2024)

Teach Me Sign: Stepwise Prompting LLM for Sign Language Production
by: An, Zhaoyi, et al.
Published: (2025)

MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
by: Cheng, Zebang, et al.
Published: (2024)

Exploring Forgetting in Large Language Model Pre-Training
by: Liao, Chonghua, et al.
Published: (2024)

UMETTS: A Unified Framework for Emotional Text-to-Speech Synthesis with Multimodal Prompts
by: Cheng, Zhi-Qi, et al.
Published: (2024)

Co-Reinforcement Learning for Unified Multimodal Understanding and Generation
by: Jiang, Jingjing, et al.
Published: (2025)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
by: Wang, Bing, et al.
Published: (2024)

GalleryGPT: Analyzing Paintings with Large Multimodal Models
by: Bin, Yi, et al.
Published: (2024)

Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
by: Wu, Qiong, et al.
Published: (2024)

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey
by: An, Wenbin, et al.
Published: (2025)

WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope
by: He, Jun-Yan, et al.
Published: (2024)

Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment
by: Wang, Kangsheng, et al.
Published: (2025)

M-MRE: Extending the Mutual Reinforcement Effect to Multimodal Information Extraction
by: Gan, Chengguang, et al.
Published: (2025)

Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition
by: Masumura, Ryo, et al.
Published: (2025)

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
by: Wang, Bing, et al.
Published: (2025)

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason
by: Lv, Ang, et al.
Published: (2025)

I see what you mean: Co-Speech Gestures for Reference Resolution in Multimodal Dialogue
by: Ghaleb, Esam, et al.
Published: (2025)

Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation
by: Li, Yunxin, et al.
Published: (2024)

Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents
by: Zhang, Xueqiao, et al.
Published: (2025)

MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
by: Deng, Jingyuan, et al.
Published: (2025)

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
by: Jiang, Chaoya, et al.
Published: (2024)

PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents
by: Wang, Junjie, et al.
Published: (2024)

Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning
by: Liang, Zhengyang, et al.
Published: (2024)

DeepMoLM: Leveraging Visual and Geometric Structural Information for Molecule-Text Modeling
by: Lan, Jing, et al.
Published: (2026)