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It is suggested that chatbot communication style influences users’ perceptions of conversational agents and may improve performance relative to less supportive chatbot designs, but the overall value of chatbot interaction depends on the task context.
This work combines learnability-based approaches with a reconstruction framework, fine-tuning GPT-2 models pre-trained on impossible languages to reconstruct natural English from three perturbation types and shows that the recovered structures exhibit shorter dependency lengths, mirroring the locality preference observ...
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