Humans introduce more semantic novelty and shape narrative direction in LLM co-writing, while LLMs show stronger emotional adaptation and elaborate on human elements.
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Audio misinformation requires rethinking fact-checking pipelines due to its spoken and conversational properties that traditional text-based methods overlook.
Fine-tuning on annotated English and Japanese dialogues improves clustering of backchannels and fillers and makes generated utterances closer to human ones.
citing papers explorer
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Directional Alignment and Narrative Agency in Human-LLM Co-Writing
Humans introduce more semantic novelty and shape narrative direction in LLM co-writing, while LLMs show stronger emotional adaptation and elaborate on human elements.
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When Misinformation Speaks and Converses: Rethinking Fact-Checking in Audio Platforms
Audio misinformation requires rethinking fact-checking pipelines due to its spoken and conversational properties that traditional text-based methods overlook.
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Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
Fine-tuning on annotated English and Japanese dialogues improves clustering of backchannels and fillers and makes generated utterances closer to human ones.