A new 1695-sample multicultural dataset plus two modules for stable multimodal fusion and modality consistency yield state-of-the-art deception detection with cross-cultural transfer.
Balanced multimodal learning via on-the-fly gradient modulation
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 4verdicts
UNVERDICTED 4roles
background 1polarities
background 1representative citing papers
EBMC framework enhances weaker modalities via semantic disentanglement and cross-modal boosting, then balances them with energy-guided coordination and instance-aware trust distillation for improved MSA performance and missing-modality robustness.
CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.
Random label bridge training aligns LLM parameters with vision tasks, and partial training of certain layers often suffices due to their foundational properties.
citing papers explorer
-
DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning
A new 1695-sample multicultural dataset plus two modules for stable multimodal fusion and modality consistency yield state-of-the-art deception detection with cross-cultural transfer.
-
Enhance-then-Balance Modality Collaboration for Robust Multimodal Sentiment Analysis
EBMC framework enhances weaker modalities via semantic disentanglement and cross-modal boosting, then balances them with energy-guided coordination and instance-aware trust distillation for improved MSA performance and missing-modality robustness.
-
Cross-Modal Navigation with Multi-Agent Reinforcement Learning
CRONA is a MARL framework that uses modality-specialized agents with auxiliary beliefs and a centralized multi-modal critic to achieve better performance and efficiency than single-agent baselines on visual-acoustic navigation tasks.
-
Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
Random label bridge training aligns LLM parameters with vision tasks, and partial training of certain layers often suffices due to their foundational properties.