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Emotion Across Speech and Faces: Shared Affective Mechanisms in Multimodal Foundation Models
Xiutian Zhao, Luqi Sun, Björn Schuller +1
Modern multimodal foundation models (MFMs) have made rapid progress on tasks requiring integrated perception across speech, vision, and language, including emotion recognition. How…
Multilingual Emotion Neurons in Large Audio-Language Models
Xiutian Zhao, Philipp Koehn, Björn Schuller +1
Emotion is central to human communication, and its expression varies across languages. Large audio-language models (LALMs) achieve strong performance on multilingual speech tasks,…
Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
Mohamed Mady, Johannes Reschke, Björn Schuller
AI-generated text is nowadays produced at scale across domains and heterogeneous generation pipelines, making robustness to distribution shift a central requirement for supervised…
Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models
Xiutian Zhao, Ismail Rasim Ulgen, Philipp Koehn +2
Large audio-language models (LALMs) can produce expressive speech, yet reliable emotion control remains elusive: conversions often miss the target affect and may degrade linguistic…
Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models
Xiutian Zhao, Björn Schuller, Berrak Sisman
Emotion is a central dimension of spoken communication, yet, we still lack a mechanistic account of how modern large audio-language models (LALMs) encode it internally. We present…
On Prompt Sensitivity of ChatGPT in Affective Computing
Mostafa M. Amin, Björn W. Schuller
Recent studies have demonstrated the emerging capabilities of foundation models like ChatGPT in several fields, including affective computing. However, accessing these emerging cap…