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20242026
most citedLarge Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge

13 citations · 17 across the 20 of their papers we have counts for

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8 papers · 1 filter

cs.SD2026

Beyond Accuracy: ARIA-Rubrics for Evaluating Audio Reasoning in Large Audio Language Models

Yupei Li, Qiyang Sun, Mohamed Mady +4

Large Audio Language Models (LALMs) have shown strong performance on audio reasoning benchmarks, but accuracy alone cannot distinguish true reasoning from superficial pattern match…

cs.SD2026

Perceptible or Not? Diagnosing Passive Fingerprints for Speech Deepfake Attribution

Yupei Li, Qiyang Sun, Emmanouil Benetos +2

Passive fingerprints (intrinsic traces naturally left by generators) have been shown to enable attribution in speech deepfake detection, yet their persistence, reproducibility, and…

cs.SD2026

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection

Qiyang Sun, Yi Chang, Yupei Li +3

Sarcasm detection, the identification of discrepancies between literal and intended meaning, is a fundamental task in affective computing. However, zero-shot instruction-tuned Larg…

cs.AI2026

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment

Xiaoliang Wu, Qiyang Sun, Yupei Li +3

Dysarthria severity assessment is essential for therapy planning and longitudinal monitoring, yet manual perceptual rating is time-consuming and variable across clinicians. Althoug…

cs.CL2026

XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models

Yupei Li, Qiyang Sun, Xiaoliang Wu +3

Speech deepfake detection (SDD) systems require trustworthy explanations for reliable decision-making. Existing explanation ways mainly fall into two categories. Traditional explai…

eess.AS2026

Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias

Tomisin Ogunnubi, Yupei Li, Björn Schuller

Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fa…

cs.SD2026

Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Yupei Li, Shuaijie Shao, Manuel Milling +1

Current audio deepfake detection has achieved remarkable performance using diverse deep learning architectures such as ResNet, and has seen further improvements with the introducti…

cs.LG2026

Affect and Effect: Limitations of regularisation-based continual learning in EEG-based emotion classification

Nina Peire, Yupei Li, Björn Schuller

Generalisation to unseen subjects in EEG-based emotion classification remains a challenge due to high inter-and intra-subject variability. Continual learning (CL) poses a promising…