What Improves Multimodal Misinformation Detection? Answers from a Large-Scale Empirical Study

arXiv:2609.30402 · cs.CV, cs.AI, cs.CL, cs.LG, cs.MM · Submitted 2026-09-24 · Read on arXiv

cs.CV, cs.AI, cs.CL, cs.LG, cs.MM

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

AUROC — 32× in this paper · explained in 2 episodes
Benchmark — 24× in this paper · explained in 2 episodes
Accuracy — 19× in this paper · explained in 1 episode
Late Fusion — 9× in this paper · explained in 2 episodes
Transformer — 7× in this paper · explained in 2 episodes
Alignment — 3× in this paper · explained in 1 episode
Generalization — 3× in this paper · explained in 13 episodes
Robustness — 3× in this paper · explained in 5 episodes
Adaptation — 2× in this paper · explained in 1 episode
Calibration — 2× in this paper · explained in 7 episodes
Embeddings — 2× in this paper · explained in 2 episodes
Linear probe — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
Abstraction — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Grounding — 1× in this paper · explained in 3 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Multimodal Fusion — 1× in this paper · explained in 3 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes
Verification — 1× in this paper · explained in 2 episodes

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