The article considers the maintenance stage of cascade software for detecting falsified digital information, in which inexpensive classifiers resolve most messages and pass uncertain ones to a large language model. After deployment, the distribution of messages changes because of new narratives, new text generators and...
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23431625. Does the introduction explain the objective of the research presented in the preprint? Yes The introduction clearly explains the research objectives. It states...
Khaiyam Khalid· Zenodo (CERN European Organi...· 0 citations
TwinLens builds a transcoder-based digital twin of a language model, predicts the effect of feature interventions, and checks each prediction against the real model. Across 8,064 interventions on GPT-2 small (56 prompts), the linear twin that attribution graphs describe ranks real effects poorly (Spearman rho 0.20). Th...
Spilios Dimakopoulos· Zenodo (CERN European Organi...· 0 citations
The rapid evolution of Large Language Model (LLM) based agents has necessitated a fundamental paradigm shift in Operating System design, moving from hierarchical, inode-based file systems to semantic, intent-driven storage architectures. While the foundational LLM-based Semantic File System (LSFS) successfully demonstr...
Zaynab Shahid, Bilal Rana, Laiba Riaz et al.· Zenodo (CERN European Organi...· 0 citations
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Mechanistic interpretability has mapped the induction circuit –- the attention head that copies a token it has seen in context –- almost exclusively in English models, and a circuit localized in one small carrier is routinely read as if it described the family. This paper does both tests at once. We report a pre-regist...
Siyuan Zhang, Jia Chen, Ni Zhang· Zenodo (CERN European Organi...· 0 citations
We describe a three-stage pipeline submitted to the DocSem 2026 shared task on document-grounded quantitative reasoning with evidence attribution. Each task instance provides a scanned, image-only PDF containing a self-contained arithmetic word problem embedded among a large number of lexically similar but irrelevant d...
One of the common problems with LLMs (Large Language Models) is that they sometimes produce fluent text that deviates from the given source or from world knowledge, a phenomenon known as hallucination.In search engines, healthcare, legal and enterprise applications, the need for factually reliable LLM is now placed in...
Unknown authors· International Research Journ...· 0 citations
This study was motivated by the difficulties experienced by Grade VII students at SMP Negeri 2 Namohalu Esiwa in understanding the structure and composing response texts, as well as the limited variety of instructional media. It aimed to develop comic-based learning media, assess its feasibility and practicality, and d...
Fari Krisnawati Telaumbanua, Noibe Halawa, Lestari Waruwu et al.· TEACHER Jurnal Inovasi Karya...· 0 citations
Large language models are increasingly proposed as proposers of deployable decision rules, and vehicular edge (VEC) offloading is a natural target: a rule maps normalized task features to the fraction of a task's compute offloaded to an edge node, under four hard properties (safety isolation, per-task deadline, per-tas...
Siyuan Zhang, Jia Chen, Ni Zhang· Zenodo (CERN European Organi...· 0 citations
The phrase “AI democratizes legal analysis” circulates unsorted. This work sorts the three layers wrapped inside it — access to documents, the capacity to produce a deep diagnosis, and the examinability of the work — and then holds one position: that democratization is arriving at the layer of capacity but is not yet c...
Tandry Laksana· Zenodo (CERN European Organi...· 0 citations
A forecast frozen on 2026-10-17 10:47 +0400 (SHA-256 0400cbfb03436aa54c54a3b59bb11fd9c252475cbdb34e11c91272f0cc8b1012), before any B-learning run with these adapters, for the preprint Head Start or Process? Decomposing How an Experience-Acquired Abstraction Shapes Later Learning in a Small Language Model (doi:10.5281/z...
Sam Ramdan· Zenodo (CERN European Organi...· 1 citation
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.
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