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#artificial intelligence Preprint Sep 2026

Selecting The Most Informative Tokens in Natural Language Autoencoders

It is shown that useful explanations can extend beyond the model a verbalizer was trained to describe and show that pretrained verbalizers recover words that models have learned to conceal through fine-tuning, without additional verbalizer training.

Federico Torrielli, Gianluca Barmina, Andrea Blasi Núñez et al. · 0 citations
Review Open access Jul 2026

Large language models for promoting physical activity: a review of experiential and behavioral outcomes, social roles, and human-likeness in persuasive LLMs

This review examines the current state of LLM-based conversational agents designed to support physical activity and points out that people anthropomorphize LLM-based conversational agents, which can enhance emotional investment and strengthen the user-agent “relationship”, but may also foster over-reliance and misplace...

Alessandro Silacci, Arianna Boldi, Maurizio Caon et al. · 0 citations

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