$EMOTN emotion

Latest papers

1. Context-Aware Topological Distillation Graph Network for Asymmetric EEG-Eye Movement Emotion Recognition cs.CV · 19 Oct · 2 hits

   EEG-eye movement emotion recognition can support mental-health monitoring and adaptive interfaces, but most fusion models…

2. Honeyed Words, Hidden Daggers: Benchmarking and Training LLMs to See Through Mock Politeness cs.CL · 19 Oct · 1 hit

   …a 1,592-item benchmark built from expert commentary on Empresses in the Palace, covering speaker intent, emotion-language mismatch, and per-listener uptake. Text-only evaluation covers 34 LLMs. GPT-6 Astra leads…

3. Text Dominance in Paralinguistic Conflict: Tracing Suppression Through Audio LLM Circuits cs.LG · 19 Oct · 1 hit

   …than the transcript alone. We test whether they prioritise transcript content over paralinguistic cues (emotion, speaker identity, sarcasm) and trace the mechanism when they do. Across six audio LLMs under…

4. EmotiQ: A Quantum Residual Specialist Framework for Text Emotion Classification cs.CL · 18 Oct · 6 hits

   Emotion classification from text is challenging because many affective states are distinguished by subtle…

5. IECLA: Interpretable Emotion Contribution Learning for Affective Image Editing cs.CV · 18 Oct · 9 hits

   Affective image editing (AIE) aims to evoke a target emotion while preserving the content and structure of a source image. Existing methods improve emotional…

6. Dual Task Vector Merging: Leveraging Emotion and ASR Knowledge for Low-Resource Alzheimer's Disease Detection eess.AS · 17 Oct · 2 hits

   …learned outside the AD task. Specifically, we inject two task vectors, derived as weight deltas from emotion- and ASR-fine-tuned wav2vec 2.0 models, into each transformer layer. During AD training, only…

7. Cross-Dimension and Cross-Modality Relational Tensor Representation Learning for Multimodal Health Data Modeling cs.LG · 17 Oct · 1 hit

   …prediction. Experiments on simulated data and two multimodal neurophysiological datasets, covering emotion recognition and brain activity classification, demonstrate that RTR consistently outperforms…

8. VocalGrad: Evaluating Acoustic Perception in Audio Language Models cs.SD · 16 Oct · 1 hit

   …speech understanding to tasks requiring paralinguistic and non-linguistic audio understanding, such as emotion recognition. However, these models still struggle to reliably utilize acoustic information,…