RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Danni, Fan, Shaojing, Cheng, Harry, Kankanhalli, Mohan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
by: Xu, Danni, et al.
Published: (2025)
by: Xu, Danni, et al.
Published: (2025)
Modeling Human Responses to Multimodal AI Content
by: Shen, Zhiqi, et al.
Published: (2025)
by: Shen, Zhiqi, et al.
Published: (2025)
A New Dataset and Benchmark for Grounding Multimodal Misinformation
by: Yang, Bingjian, et al.
Published: (2025)
by: Yang, Bingjian, et al.
Published: (2025)
Reasoning LLMs are Wandering Solution Explorers
by: Lu, Jiahao, et al.
Published: (2025)
by: Lu, Jiahao, et al.
Published: (2025)
VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
by: Rothermel, Mark, et al.
Published: (2026)
by: Rothermel, Mark, et al.
Published: (2026)
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
by: Li, Zhenyang, et al.
Published: (2023)
by: Li, Zhenyang, et al.
Published: (2023)
KEN: Knowledge Augmentation and Emotion Guidance Network for Multimodal Fake News Detection
by: Zhu, Peican, et al.
Published: (2025)
by: Zhu, Peican, et al.
Published: (2025)
Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models
by: Lin, Yuxiang, et al.
Published: (2025)
by: Lin, Yuxiang, et al.
Published: (2025)
SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection
by: Zhu, Peican, et al.
Published: (2025)
by: Zhu, Peican, et al.
Published: (2025)
Differential Multimodal Transformers
by: Li, Jerry, et al.
Published: (2025)
by: Li, Jerry, et al.
Published: (2025)
SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature
by: Ren, Yiming, et al.
Published: (2026)
by: Ren, Yiming, et al.
Published: (2026)
LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
by: He, Lang, et al.
Published: (2024)
by: He, Lang, et al.
Published: (2024)
Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)
by: Meng, Chunlei, et al.
Published: (2026)
WorldGPT: Empowering LLM as Multimodal World Model
by: Ge, Zhiqi, et al.
Published: (2024)
by: Ge, Zhiqi, et al.
Published: (2024)
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
by: Zhang, Hanlei, et al.
Published: (2024)
by: Zhang, Hanlei, et al.
Published: (2024)
Fact-Checking at Scale: Multimodal AI for Authenticity and Context Verification in Online Media
by: Phan, Van-Hoang, et al.
Published: (2025)
by: Phan, Van-Hoang, et al.
Published: (2025)
Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment
by: Zeng, Delong, et al.
Published: (2026)
by: Zeng, Delong, et al.
Published: (2026)
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
by: Kumar, Puneet, et al.
Published: (2024)
by: Kumar, Puneet, et al.
Published: (2024)
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
by: Li, Lin, et al.
Published: (2024)
by: Li, Lin, et al.
Published: (2024)
ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents
by: Yang, Tianyu, et al.
Published: (2025)
by: Yang, Tianyu, et al.
Published: (2025)
Multimodal Emotion Recognition by Fusing Video Semantic in MOOC Learning Scenarios
by: Zhang, Yuan, et al.
Published: (2024)
by: Zhang, Yuan, et al.
Published: (2024)
QMAVIS: Long Video-Audio Understanding using Fusion of Large Multimodal Models
by: Lin, Zixing, et al.
Published: (2026)
by: Lin, Zixing, et al.
Published: (2026)
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
by: Jung, Juho, et al.
Published: (2024)
by: Jung, Juho, et al.
Published: (2024)
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey
by: Lin, Qika, et al.
Published: (2024)
by: Lin, Qika, et al.
Published: (2024)
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training
by: Ding, Muhe, et al.
Published: (2024)
by: Ding, Muhe, et al.
Published: (2024)
PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis
by: Xie, Heng, et al.
Published: (2025)
by: Xie, Heng, et al.
Published: (2025)
LiveK12Bench: Have Large Multimodal Models Truly Conquered High School-level Examinations?
by: Wang, Xiaohan, et al.
Published: (2026)
by: Wang, Xiaohan, et al.
Published: (2026)
MaLoRA: Gated Modality LoRA for Key-Space Alignment in Multimodal LLM Fine-Tuning
by: Zheng, Xinhan, et al.
Published: (2025)
by: Zheng, Xinhan, et al.
Published: (2025)
GeoGuess: Multimodal Reasoning based on Hierarchy of Visual Information in Street View
by: Cheng, Fenghua, et al.
Published: (2025)
by: Cheng, Fenghua, et al.
Published: (2025)
REMOTE: A Unified Multimodal Relation Extraction Framework with Multilevel Optimal Transport and Mixture-of-Experts
by: Lin, Xinkui, et al.
Published: (2025)
by: Lin, Xinkui, et al.
Published: (2025)
Personalized Image Generation with Large Multimodal Models
by: Xu, Yiyan, et al.
Published: (2024)
by: Xu, Yiyan, et al.
Published: (2024)
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition
by: Zhou, Qianrui, et al.
Published: (2025)
by: Zhou, Qianrui, et al.
Published: (2025)
Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
by: Meng, Jiahao, et al.
Published: (2025)
by: Meng, Jiahao, et al.
Published: (2025)
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
by: Luo, Pengfei, et al.
Published: (2025)
by: Luo, Pengfei, et al.
Published: (2025)
A Survey on Image-text Multimodal Models
by: Guo, Ruifeng, et al.
Published: (2023)
by: Guo, Ruifeng, et al.
Published: (2023)
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
by: Peng, Cheng, et al.
Published: (2023)
by: Peng, Cheng, et al.
Published: (2023)
Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation
by: Huang, Zikai, et al.
Published: (2025)
by: Huang, Zikai, et al.
Published: (2025)
MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization
by: Saha, Anisha, et al.
Published: (2026)
by: Saha, Anisha, et al.
Published: (2026)
Similar Items
-
RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wild
by: Xu, Danni, et al.
Published: (2025) -
Modeling Human Responses to Multimodal AI Content
by: Shen, Zhiqi, et al.
Published: (2025) -
A New Dataset and Benchmark for Grounding Multimodal Misinformation
by: Yang, Bingjian, et al.
Published: (2025) -
Reasoning LLMs are Wandering Solution Explorers
by: Lu, Jiahao, et al.
Published: (2025) -
VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checking
by: Rothermel, Mark, et al.
Published: (2026)