Category
2,378 papers
The Pedagogical Agent Toolkit (PATK) is introduced, an extendable and modular toolkit with AI-based features with the purpose of expanding novice designer agency and opportunity in the creation and customization of PAs.
Legal AI systems require accuracy and verifiable reasoning, yet under-resourced languages lack the specialized models needed to meet these standards. This challenge is particularly acute for statute-based civil law systems like Vietnam’s, where the core task is interpreting and applying codified statutes rather than ma...
This study examines how AI-generated children’s stories produced by large language models (LLMs, e.g., ChatGPT) reflect and reproduce social biases in the social representations of intelligence across gender, racial identity, socioeconomic status, and educational level. We ask three questions: (1) how these narratives...
This paper develops a cognitive and hermeneutic theory of resonance in long-form human–AI interaction. Resonance is described as an emergent interpretive phenomenon in dialogue, arising from shifts in perceptual loops, schema flexibility, interpretive registers, and meaning structures. The theory outlines how sustained...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Replication Package The package contains the datasets, source code, validation results, and generated outputs used throughout the study. It enables researchers to reproduce the literature review, data extraction, coding, validation, and analysis procedures reported in the paper. Note: All the hyperlinks referring to th...
This work introduces model-generated consciousness attribution as an object of empirical operationalization and diagnosis, defining an attribution rule as the recurring relationship between features of a target and an evaluator’s ratings, without implying subjective belief, intention, or experience.
Plant taxonomic knowledge contains a long tail of infrequently encountered names, diagnostic characters, and nomenclatural decisions, yet model reliability across this distribution remains unclear. We developed the Chinese-language PTTB-600, comprising 200 general, 300 ordinary specialized, and 100 long-tail fill-in qu...
Urban planners are increasingly using Large Language Models (LLMs) to draft project appraisals, raising the question of whether such systems can act as independent evaluators. Here we test this question on two contested urban regeneration projects in Greece: Hellinikon in Athens and TIF-HELEXPO in Thessaloniki. A valid...
This body of work develops a unified relational ontology of form that reinterprets metaphysics, physics, biology, and AI as different expressions of the same underlying problem: how stable forms emerge, persist, and transform within a world constituted not by independent objects, but by relations. Beginning with the fo...
Gödel's incompleteness theorem and Turing's halting problem are conventionally read as fundamental limits of formal reason. We argue the opposite: they are not limits of reason, but the cost of practicing reason context-free. Incompleteness (Gödel), the undecidability of semantic properties (Rice), the undefinability o...
Large Language Models as Implicit Classifiers in Predictive Maintenance: A Diagnostic Study on Turbofan Remaining Useful Life
As Socially Interactive Agents (SIAs) become increasingly integrated into daily life, the ability to calibrate user trust to an agent’s actual capabilities would help ensure appropriate usage of these agents. In this paper, we explore the capacity of Large Language Models (LLMs) to generate multimodal behaviors (verbal...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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.
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
