Unverified50% confidenceFactExact time
Conversational systems based on large language models can simulate genuine emotional interactions and automatically respond to user questions.
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50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
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VerifiedAfter training on massive conversational datasets, modern large language models have acquired a certain degree of emotional reasoning capability.79% similarUnverifiedAI情感陪伴通过大模型自然语言生成能力，结合RLHF（基于人类反馈的强化学习）训练出的对话风格来模拟具有同理心的表达方式74% similarUnverifiedA visible thinking process makes users feel that the model is taking their questions seriously, thereby generating positive emotional feedback66% similarUnverifiedWith chain-of-thought enabled, the model thinks step by step in a self-talking manner, making it more prone to including emotional, colloquial, or even anthropomorphic expressions.65% similarUnverifiedModern sentiment analysis systems are typically based on Transformer-architecture pre-trained language models (such as BERT and the GPT series), identifying the sentiment polarity of text through fine-tuning on large-scale annotated datasets.65% similar
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