N-K SCIENCES INTERNATIONAL PUBLICATION ZENODO SUBMISSION — DOI: 10.5281/zenodo.22820855 --- COMPLETE METADATA & DESCRIPTION Basic Information Field ValueTitle The AI "Slowdown" Deception: The Hidden Agenda to Hijack the World's Economic System — How AI Companies Prepare Their Excuse, Shift Liability, and Form a CartelA...
Muhammad Usman Malik· Zenodo (CERN European Organi...· 0 citations
Background Context Chronic low back pain (cLBP) is the leading global cause of disability, yet the anatomical, psychological, and socioeconomic determinants of cLBP are typically studied in isolation, with limited large-scale integration of imaging data. Purpose To determine the relative contributions of anatomical, de...
M. Perrone, H. Tachi, H. Albadi et al.· medRxiv· 0 citations
ALIBI is presented, a semantic cover story attack against frontier LLM-based malware analyzers that adds a small, non-executed read-only section to a compiled binary, containing a coherent but false security product narrative, without altering imports or executable behavior.
H. Choi, Wonyoung Jung, Haehoon Seo et al.· 0 citations
It is shown that the instability of RL under TIM is primarily caused by drift: a persistent bias between training and inference engines that accumulates with every training step, and an additive score centering term is derived that stabilizes RL under TIM by canceling drift.
Martina Marek, Max Ryabinin· 3 citations· ⚡1
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A popular selling point of diffusion large language models (dLLMs) is their capacity for parallelism: the ability to generate sequences of text far more efficiently than autoregressive models, which require one forward pass per token. Yet among the many competing paradigms for dLLMs, from masked to uniform to Gaussian...
The results show that candidate count alone is not enough to describe the systems cost of multi-candidate test-time scaling and Evaluations should report not only candidate count and accuracy, but also generation schedule and GPU-level systems metrics.
This work proposes a framework for locally masked SAE-based anomaly detection, supported by theoretical justifications, and demonstrates their ability to capture meaningful safety information while using only 1-2% of SAE neurons for computation.
Xin Chen, Gil Kur, A. Shevchenko et al.· 0 citations
FARSIGHT (Financial Agent Robustness and Security Investigation and Global Holistic Testing), a framework that performs scheme-level evaluation of financial LLM agents on two axes: robustness under market turbulence and security against three attack types: attacks on information sources, attacks on agents, and agent-as...
Depth-recurrent language models iteratively apply a small layer stack, decoupling per-token compute from distinct parameter count. To determine whether such a model genuinely utilizes its depth, both recurrence and layer-pruning literatures rely on a shared evaluation: truncating depth at inference time, plotting quali...
Ha Van Dau, Thanh Tung Khuat, Dung Thanh Nguyen· 0 citations
This work introduces QVAC Genesis III, a 191.43B-token, STEM-focused multi-domain synthetic corpus covering 19 domains across several difficulty levels and different educational styles, and introduces an LLM-as-a-parser evaluation protocol that extracts final answers from free-form outputs and tracks both accuracy and...
Davide Vitabile, N. Ranjan, Akshay Nambiar et al.· 0 citations
ABSTRACT
Local wisdom-based oral literature learning needs to be designed not only to preserve cultural knowledge but also to provide opportunities for students to develop digital literacy and scientific communication skills. This study aims to develop oral literature learning through digital storytelling media integr...
Taslim Makatita, Juraid Somalua· EDUCATIONAL : Jurnal Inovasi...· 0 citations
Generative artificial intelligence has entered medicine through a heterogeneous set of uses rather than through a single technological pathway. Large language models now draft clinical text, interpret reports, answer patient questions, support knowledge retrieval, structure health data, assist education, and participat...
Fahim Sufi, Seedahmed S. Mahmoud· Frontiers in Digital Health· 0 citations
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.
