When Models Hear What They Expect: Diagnosing Prosodic Heuristics in Multimodal Sarcasm Detection

arXiv:2608.30204 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• False Positives — 19× in this paper
• Trace — 16× in this paper · explained in 2 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• False Negatives — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Thinking mode — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Affective Computing — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Magellan Technology Research Institute — 1× in this paper
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
• Evaluating Emotion Recognition in Spoken Language Models on Emotionally Incongruent Speech
• One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces
• Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding
• SALMONN: Towards Generic Hearing Abilities for Large Language Models
• Qwen2.5-Omni Technical Report
• Qwen3 Technical Report

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