Although video captioning has advanced significantly, it is still difficult to produce precise, context-aware, and coherent captions for a variety of complex and varied video content. Traditional approaches frequently have problems detecting and characterizing dynamic scenes, efficiently managing sequential visual data...
M Gowri Shankar, D. Surendran· International Journal of Com...· 0 citations
A meta-analysis of the academic literature on NLP ethics reveals a rapid expansion of research in this area, driven largely by the emergence of Large Language Models (LLMs), and suggests that geographic concentrations of research fundings may influence the ethical priorities reflected in the literature.
Rosa Vicari, N. Komendantova· Humanities and Social Scienc...· 0 citations
Purpose. To assess the effectiveness of integrating digital tools into the three-stage model of professional vocabulary acquisition (noticing – retrieval – creative use) for engineering students, and to determine whether the systematic matching of each tool to the cognitive task of a stage offers an advantage over trad...
М.О. Полухина, M.V. Yurina· Open Education· 0 citations
Consider the use of a person's behavior to obtain something without that person's consent or assent, without countercontrol, and in extreme cases without any awareness that an interaction has taken place. Such situation raises human rights concerns that have been analyzed within the behavior analytic literature (e.g, G...
Daniele Ortu· Frontiers in Big Data· 0 citations
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The use of artificial intelligence (AI), particularly large language models such as ChatGPT, has significantly expanded across academia and research in recent years. Of growing interest is AI’s potential role in qualitative research, especially in expediting tasks such as literature review and synthesis, data managemen...
Laura Hagan, Alla Chavarga· American Journal of Qualitat...· 0 citations
Successful omnichannel retail management requires integrated strategies because customers evaluate product aspects differently across online and offline channels. However, prior research has relied on macro-level or qualitative analyses that cannot quantify which specific aspects are associated with customer satisfacti...
A brain-inspired, large-language-model-parameterized hierarchical hidden semi-Markov model that encodes lexical-, sentence- and discourse-level representations and maps contextual embeddings to state-emission, transition, and duration parameters is developed.
Autonomous agents powered by large language models (LLMs) are deployed widely across finance, healthcare, legal review, and customer support. Each deployment assumes that an agent will remain within its assigned role—an assumption that adversarial users routinely challenge through identity drift attacks. This work asks...
B. Sahana, Charithra H. S., Arshitha S. et al.· International Journal of Pow...· 0 citations
To address persistent shortcomings in students’ conceptual understanding, this development study designed and validated interactive digital worksheets grounded in the Indonesian Realistic Mathematics Education approach (PMRI) and integrating GeoGebra and Liveworksheets for eighth‑grade instruction on linear equation. E...
D. A. Wijayanti, Mimi Nur Hajizah, Adhisty Artamevia Irawan et al.· Jurnal Riset Pembelajaran Ma...· 0 citations
The increasing use of artificial intelligence systems in healthcare has raised concerns regarding the accuracy and reliability of information generated by large language models. This study aimed to evaluate the concordance of ChatGPT responses related to adolescent eating disorders with the American Psychiatric Associa...
Ayşe Gül Güven, Simay Mirioğlu, Burak Kurt et al.· Journal of Eating Disorders· 0 citations
Large language models (LLMs) are increasingly embedded in knowledge work, raising the question to what extent they can systematically influence their users’ decisions—a question with commercial as well as societal stakes. Across an exploratory study and two pre-registered experiments grounded in moral foundations the...
Giles Hirst, W. Johnson, April Li et al.· Scientific Reports· 0 citations
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
