Working paper and open data. Studies that measure the output of more than one AI language model consistently find that the models write differently, in the same manner that human authors have different writing styles. We coin the term **modelometry** for the measurement and attribution of the inter-model writing style...
TextPulse Research· Zenodo (CERN European Organi...· 0 citations
HIPPOGRID — evidence pack for the preliminary results (2026) Raw result files and figures behind the preliminary results cited in the MSCA-PF proposal HIPPOGRID (SEP-211387371, call HORIZON-MSCA-2026-PF-01). Researcher: Álvaro González-Redondo (University of Granada). Each bundle below backs one claim of the proposal;...
Álvaro González-Redondo· Zenodo (CERN European Organi...· 0 citations
Working paper and open data. Studies that measure the output of more than one AI language model consistently find that the models write differently, in the same manner that human authors have different writing styles. We coin the term **modelometry** for the measurement and attribution of the inter-model writing style...
TextPulse Research· Zenodo (CERN European Organi...· 0 citations
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. The literature on how language models behave when retrieved context contradicts parametric memory contains a flat contradiction, and neither of its two surveys resolves it. One body of results reports over-reliance on memorised information; another reports that mod...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
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The Hash-Atlas network is proposed, which reformulates 3D scene editing as operations on 2D atlas images, thereby achieving a workflow decoupling of the 2D editing and 3D reconstruction processes.
Shuangkang Fang, Yu-Feng Wang, Yi-Hsuan Tsai et al.· 1 citation
This work proposes AutoMedImg, a multi-agent framework for fully automated medical image processing code generation that achieves zero human intervention, with Dice scores of up to 0.90 for segmentation tasks and 99% accuracy for classification.
Zi-Xiao Zhao, Jing Sun, Zhe Hou et al.· Proceedings of the 41st IEEE...· 0 citations
An automated scoring approach in which an evolutionary algorithm derives a small set of interpretable maturity indicators, each scored from sentence-completion responses by a domain-fine-tuned language model, supports automated ego-development scoring at agreement levels comparable to trained raters, and the indicators...
Tamas Madl, S. Cook-Greuter· Frontiers in Psychology· 0 citations
A defensive capability analysis for JavaScript libraries that soundly reports every exercised capability for code executed under a lightweight protected runtime, complementing the static analysis with a lightweight runtime enforcement mechanism that blocks those patterns.
Wen-Yu Xu, Anders Møller· Proceedings of the 41st IEEE...· 0 citations
Switch Distillation is proposed, a simple mid-training objective that distills on tokens where the teacher is confident, using teacher predictive entropy as a lightweight routing signal, and otherwise falls back to cross-entropy, which consistently outperforms existing distillation objectives across teacher sizes.
Jacqueline He, Howard Yen, S. Li et al.· 0 citations
This work proposes VerTox, the first framework to formulate corpus poisoning as a verifiable reward-guided reinforcement learning (RLVR) problem, and produces adversarial documents that frequently rank higher than target documents across major neural ranking architectures, as well as a proprietary commercial embedding...
Zhi-Qi Huang, Vivek Datla, Zhichao Xu et al.· 0 citations
The results show that learnable subword tokenisation can improve sample-efficiency for BabyLM pretraining and analyse the subword learning dynamics of the models and find that tokenisation gradually converges on subword units that balance morphological alignment and fine-grained segmentation.
A single-file solver organized as a cheapest-first cascade is presented, which combines coefficient tests over structured algebra families, bounded finite-model search, an explicit central-groupoid witness, and several infinite-carrier witnesses and makes no completeness or comparative-superiority claim.
Hao Ma, Wen-Lin Zhang, Manuel Israel Cazares· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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.
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.
