LLMs show below-average consistency and vulnerability to false beliefs in emotional queries with false presuppositions, more so for moderate emotions.
Is chatgpt equipped with emotional dialogue capabilities?
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 3representative citing papers
An LLM-assisted annotation pipeline creates the PodSarc sarcastic speech dataset from podcasts and validates it via a collaborative gating detection model reaching 73.63% F1.
The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.
citing papers explorer
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Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contexts
LLMs show below-average consistency and vulnerability to false beliefs in emotional queries with false presuppositions, more so for moderate emotions.
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Leveraging Large Language Models for Sarcastic Speech Annotation in Sarcasm Detection
An LLM-assisted annotation pipeline creates the PodSarc sarcastic speech dataset from podcasts and validates it via a collaborative gating detection model reaching 73.63% F1.
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Agent AI: Surveying the Horizons of Multimodal Interaction
The paper defines Agent AI as interactive multimodal systems that perceive grounded data and generate embodied actions, arguing this approach can mitigate hallucinations in foundation models.