human-machine symbiosis, a new type of human-machine relationship, has become the future trend in the field of education. Employing a descriptive approach and case study analysis, the article describes the goal, learn...
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This position paper investigates the potential of integrating insights from language impairment research and its clinical treatment to develop human-inspired learning strategies and evaluation frameworks for language ...
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The capacity of large language models (LLMs) to understand and distinguish socially unacceptable texts enables them to play a promising role in abusive language detection. However, various factors can affect their sen...
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This study explores the implementation of digital humantechnology to enhance English teaching in vocational and technical colleges. It outlines a comprehensive plan involving needs analysis, technology selection and ...
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In this paper, we evaluate the creative fiction writing abilities of a fine-tuned small language model (SLM), BART-large, and compare its performance to human writers and two large language models (LLMs): GPT-3.5 and ...
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We evaluate the alignment of large language models (LLMs) and large vision-language models (LVLMs) with human perception, focusing on the Japanese concept of shitsukan, which reflects the sensory experience of perceiv...
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In this work, a bifunctional organohydrogel-based triboelectric strain sensor (TSS) has been newly developed and demonstrated for sign language interpretation and human-machine interfacing. The organohydrogel was patt...
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This paper explores the use of Large language Models (LLMs) in the generation and evaluation of analytical reports derived from Earnings Calls (ECs). Addressing a current gap in research, we explore the generation of ...
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languages evolve, increasing the risk of losing ancestral languages. In this paper, we explore Historical language Reconstruction (HLR) for Proto-Sabaean languages, starting with the identification of cognates-sets of...
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Recent work investigates whether LMs learn human-like linguistic generalizations and representations from developmentally plausible amounts of data. Yet, the basic linguistic units processed in these LMs are determine...
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