Cover Image

Unveiling Modality Bias: Automated Sample-Specific Analysis for Multimodal Misinformation Benchmarks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Hehai, Liu, Hui, Cao, Shilei, Li, Jing, Li, Haoliang, Wang, Wenya
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Multimodal Misinformation Detection with Logic Reasoning
by: Liu, Hui, et al.
Published: (2023)

Interactive Learning for LLM Reasoning
by: Lin, Hehai, et al.
Published: (2025)

Unveiling Project-Specific Bias in Neural Code Models
by: Li, Zhiming, et al.
Published: (2022)

Unified-MAS: Universally Generating Domain-Specific Nodes for Empowering Automatic Multi-Agent Systems
by: Lin, Hehai, et al.
Published: (2026)

A New Dataset and Benchmark for Grounding Multimodal Misinformation
by: Yang, Bingjian, et al.
Published: (2025)

A Multi-Agent Framework with Automated Decision Rule Optimization for Cross-Domain Misinformation Detection
by: Li, Hui, et al.
Published: (2025)

Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
by: Liu, Hui, et al.
Published: (2024)

OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline
by: Li, Haiyang, et al.
Published: (2025)

Domain-Specific Data Generation Framework for RAG Adaptation
by: Tian, Chris Xing, et al.
Published: (2025)

Skill Path: Unveiling Language Skills from Circuit Graphs
by: Chen, Hang, et al.
Published: (2024)

Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models
by: Park, Jean, et al.
Published: (2024)

The Multimodal Paradox: How Added and Missing Modalities Shape Bias and Performance in Multimodal AI
by: Sampath, Kishore, et al.
Published: (2025)

EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval
by: Wu, Yin, et al.
Published: (2025)

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification
by: Sanyal, Soumya, et al.
Published: (2024)

Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis
by: Lin, Ronghao, et al.
Published: (2022)

Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
by: Zhu, Jing, et al.
Published: (2024)

ATG: Benchmarking Automated Theorem Generation for Generative Language Models
by: Lin, Xiaohan, et al.
Published: (2024)

Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
by: Shi, Yu-Zhe, et al.
Published: (2025)

Unveiling Confirmation Bias in Chain-of-Thought Reasoning
by: Wan, Yue, et al.
Published: (2025)

MLLMs are Deeply Affected by Modality Bias
by: Zheng, Xu, et al.
Published: (2025)

Bridging Temporal and Textual Modalities: A Multimodal Framework for Automated Cloud Failure Root Cause Analysis
by: Park, Gijun
Published: (2026)

AMA: Adaptive Memory via Multi-Agent Collaboration
by: Huang, Weiquan, et al.
Published: (2026)

AlignMamba-2: Enhancing Multimodal Fusion and Sentiment Analysis with Modality-Aware Mamba
by: Li, Yan, et al.
Published: (2026)

Hydra-Bench: A Benchmark for Multi-Modal Leaf Wetness Sensing
by: Liu, Yimeng, et al.
Published: (2025)

Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
by: Chen, Yangneng, et al.
Published: (2026)

Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention
by: Weng, Yuzhe, et al.
Published: (2024)

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
by: Vasu, Sai Suresh Macharla, et al.
Published: (2025)

AGCD: Agent-Guided Cross-Modal Decoding for Weather Forecasting
by: Wu, Jing, et al.
Published: (2026)

Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
by: Xi, Yueqing, et al.
Published: (2025)

Knowledge-Guided Dynamic Modality Attention Fusion Framework for Multimodal Sentiment Analysis
by: Feng, Xinyu, et al.
Published: (2024)

Adaptation Method for Misinformation Identification
by: Chen, Yangping, et al.
Published: (2025)

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning
by: Guo, Weiyang, et al.
Published: (2025)

VLSBench: Unveiling Visual Leakage in Multimodal Safety
by: Hu, Xuhao, et al.
Published: (2024)

FairMedQA: Benchmarking Bias in Large Language Models for Medical Question Answering
by: Xiao, Ying, et al.
Published: (2025)

MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing
by: Lin, Ronghao, et al.
Published: (2026)

When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation
by: Xu, Wenda, et al.
Published: (2025)

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
by: Peng, Tai-Quan, et al.
Published: (2024)

RiOSWorld: Benchmarking the Risk of Multimodal Computer-Use Agents
by: Yang, Jingyi, et al.
Published: (2025)

Do Multimodal Language Models Really Understand Direction? A Benchmark for Compass Direction Reasoning
by: Yin, Hang, et al.
Published: (2024)