Results 131 to 140 of about 100,345 (312)
Abstract Objectives In recent decades, research has increasingly highlighted the devastating effects of childhood trauma and relational processes that violate human development. However, the unique dynamics of such early‐life deprivations in adults who practice meditation, a context where the complexity of such wounding (and healing) may become ...
Anna‐Maria Frastali, Adhip Rawal
wiley +1 more source
Success and failure of programming environments - report on the design and use of a graphic abstract syntax tree editor [PDF]
Catherine Recanati
openalex +1 more source
Innovative and interactive statistics teaching using Quarto
Abstract Quarto is an open‐source system that is useful for creating scientific teaching resources, particularly statistical resources, in various formats. Quarto is the next‐generation version of R Markdown, and it can produce content using a variety of programming languages, including R, Python, Julia, and Observable JS.
Kristian Evans
wiley +1 more source
Abstract The majority of Pleistocene figurative cave art in Western Europe consists of line drawings depicting large herbivores from the side view, and outlines were sometimes abbreviated to the head‐neck‐dorsal line. It is often assumed that the side view was used because it facilitates animal recognition compared to other views, and that abbreviated ...
Murillo Pagnotta +4 more
wiley +1 more source
FLWD:A Webshell detection method based on federated learning
Webshell attacks were a common technique where attackers gained partial control over the Web server through a Webshell to carry out malicious activities. Due to the covert nature of Webshell operations and the continuous creation of new Webshell variants
ZENG Qingpeng, CHAI Jiangli, WU Shuixiu
doaj
Alignment of the Starlings: Learning With Generative AI
ABSTRACT I will argue that answers to normative questions concerning the place of generative AI in learning rest on answers to ontological questions regarding (1) precisely what is happening when a human ‘interacts’ with generative AI and (2) What is distinctive about organic learning as opposed to currently existing ‘machine learning’ (3) What is the ...
Sean Watson
wiley +1 more source
Language machines: Toward a linguistic anthropology of large language models
Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source
Learning the fine-grained code representation for log-level prediction
Log levels are crucial to distinguish the severity of logs and directly reflecting the urgency of transactions in software systems. Automatically and efficiently determining log levels is a crucial and challenging task in log management.
Zhiyong Zhao +5 more
doaj +1 more source
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley +1 more source

