TruthLens is an evidence-first pipeline for fact-checking short-form political video and image posts. It decomposes a post into atomic claims, researches each against the open web, and subjects every generated verdict to a deterministic, non-LLM validator — checking citation existence, source-fetch success, numeric gro...
Aditya Rekhe· Zenodo (CERN European Organi...· 0 citations
N-K SCIENCES INTERNATIONAL PUBLICATION ZENODO SUBMISSION — DOI: 10.5281/zenodo.22759468 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle Rough Surface Turbulence in the Noor Ocean: Complete Deterministic Theory — Why Silica Particles Tilt in Microgravity, Why Reverse Swing Works, and Why the UN Dr...
Muhammad Usman Malik· Zenodo (CERN European Organi...· 0 citations
Human expression is inherently multimodal, spanning language, sound, movement, and other perceptual forms that together convey meaning. Each modality carries distinct yet complementary information. However, most Artificial Intelligence (AI) systems process these signals in isolation, failing to capture the complexity o...
A robot with a headlamp explores a vast dark building. It maps what its beam illuminates, measures distances, catalogs surfaces. Its maps are accurate. But the robot cannot see what lies outside the cone of its headlamp, and if it is sophisticated enough to reflect on its situation, it may make a fatal error: it may co...
Wasserman, Adam Zachary· Zenodo (CERN European Organi...· 0 citations
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Experiments across multiple LLM backbones show that SecAwareCoder consistently improves Pass@1 and security robustness over prompting and analyzer-driven baselines, narrowing the security--correctness gap in LLM code generation.
Jie-Xin Wang, Liu-Wen Cao, Xi-Tong Luo et al.· Proceedings of the ACM on So...· 54 citations· ⚡5
It is shown that lightweight reference set distributional diagnostics can reveal model-specific instability patterns during sequential LoRA personalization of SLMs, including cases where task-level metrics alone hide harmful adaptation.
Thomas S. Paula, L. Kupssinskü, Rodrigo C. Barros· arXiv.org· 0 citations
This study presents the first empirical study of diffusion LLMs for code generation and explores factors impacting the effectiveness and efficiency of diffusion LLMs, and provides practical guidance.
Cheng-Ze Li, Yi-Tong Zhang, Jia Li et al.· ACM Transactions on Software...· 18 citations· ⚡1
Digitization and structuring of pathology reports are essential in modern healthcare for enhancing patient care, data analytics, and medical research. This study presents a framework called Dual-integrated Text Extraction using Hybrid OCR Engines (DiText-OCR), which leverages multiple OCR tools and domain-specific dict...
Journal of Theoretical and Applied Information Technology· Journal of Theoretical and A...· 0 citations
Digitization and structuring of pathology reports are essential in modern healthcare for enhancing patient care, data analytics, and medical research. This study presents a framework called Dual-integrated Text Extraction using Hybrid OCR Engines (DiText-OCR), which leverages multiple OCR tools and domain-specific dict...
Journal of Theoretical and Applied Information Technology· Journal of Theoretical and A...· 0 citations
Abstract The rapid growth of digital information has significantly increased the need for intelligent systems capable of managing, understanding, and retrieving knowledge from diverse document formats. Traditional document management systems primarily focus on storage and indexing, requiring users to manually search fo...
Dr. K R Shylaja, Praveen H· Journal of Zhejiang Universi...· 0 citations
Abstract The rapid growth of digital information has significantly increased the need for intelligent systems capable of managing, understanding, and retrieving knowledge from diverse document formats. Traditional document management systems primarily focus on storage and indexing, requiring users to manually search fo...
Dr. K R Shylaja, Praveen H· Zenodo (CERN European Organi...· 0 citations
Abstract Alzheimer's disease (AD) often remains undetected until memory loss and cognitive decline become clinically apparent, at which point substantial neurological damage has already occurred. Early and reliable diagnosis therefore, remains one of the most pressing challenges in dementia care. This study presents a...
Dr. K R Shylaja, Chaitra Shree K· Zenodo (CERN European Organi...· 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
