The article discusses how the default meaning of the term "token" has shifted from cryptocurrency to artificial intelligence, reflecting AI's increasing prominence. This semantic change highlights the cultural and technological importance of AI compared to the prior dominance of crypto.
This article examines the nature of chatbots, particularly Large Language Models, as problem-solving conversational partners, drawing on Aggregation Dynamics, Cognitive Linguistics, Neuropsychology, and Psychology. It hypothesizes that LLM training datasets only partially imitate human thinking and understanding, encoding artificial metaphorical problem propagations.
The HKJudge project introduces the first sentence-level, expert-annotated legal discourse corpus of Hong Kong criminal judgments, comprising approximately 290k sentences. It utilizes a two-tier discourse schema to identify what courts find, how they reason, and what they rule, with high inter-annotator agreement.
The author recounts a personal journey sparked by realizing the carbon footprint of an AI model for endangered languages, leading to research into privacy-preserving, environmentally sustainable AI systems. This moment of cognitive dissonance initiated two years of exploration into building AI that could learn from sensitive data in an eco-friendly manner.
This research introduces a scalable computational approach to measure manner and result verbs, a crucial distinction for developmental language studies. It leverages large language models for sentence annotations and trains a RoBERTa-based classifier, demonstrating promising performance on evaluation datasets.
Este artigo explora variações na realização de substantivos em diferentes idiomas, propondo um modelo formal de marcação impulsionada pela morfologia. O modelo organiza substantivos em conjuntos cognitivos modulares para explicar diferenças de marcação e reavalia os conceitos de marcação e estado dentro das funções sintáticas.