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Found 6 papers, 4 papers with code
Think Twice: Perspective-Taking Improves Large Language Models' Theory-of-Mind Capabilities
Human interactions are deeply rooted in the interplay of thoughts, beliefs, and desires made possible by Theory of Mind (ToM): our cognitive ability to understand the mental states of ourselves and others.
Comparative Knowledge Distillation
We observe that prevalent KD techniques and state of the art data augmentation strategies fall short in this constrained setting.
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
We propose two lower bounds based on the amount of shared information between modalities and the disagreement between separately trained unimodal classifiers, and derive an upper bound through connections to approximate algorithms for min-entropy couplings.
Difference-Masking: Choosing What to Mask in Continued Pretraining
The self-supervised objective of masking-and-predicting has led to promising performance gains on a variety of downstream tasks.
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering
Creating artificial social intelligence - algorithms that can understand the nuances of multi-person interactions - is an exciting and emerging challenge in processing facial expressions and gestures from multimodal videos.
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training
Robustness to environmental noise is important to creating automatic speech emotion recognition systems that are deployable in the real world.
