Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificial intelligence. Contemporary foundation model pipel...
Daniel Solis· Zenodo (CERN European Organi...· 0 citations
Teacher support in English as a Foreign Language (EFL) context is considered a crucial element in students' academic and psychological performance. Despite its relevance, relatively few studies have examined how teacher support interacts with learners' self-regulation to influence mental health, especially in Ethiopian...
E. Taddese, Mitiku Tasisa Dinsa, Habtamu Adem Yassin et al.· World Journal of English Lan...· 0 citations
This paper presents a two-phase training framework that combines Supervised Fine-Tuning (SFT) and Group Relative Policy Optimization (GRPO) to enhance reasoning and IoT control capabilities in small language models. The proposed approach enables a reasoning-enhanced model to interpret real-time sensor data and control...
Ashish Prasad, Saurav Kumar· Zenodo (CERN European Organi...· 0 citations
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This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22919717. Does the introduction explain the objective of the research presented in the preprint? Yes Justification: The introduction and abstract clearly articulate the s...
Amarpreet Singh Bassan· Zenodo (CERN European Organi...· 0 citations
AbstractThis paper examines what it calls the Footprint Problem: the relationship between the physical requirements of advanced artificial intelligence and humanity’s ability to monitor, regulate, or restrict its development. Current frontier AI depends upon advanced chips, large computing clusters, substantial energy,...
Charles Richard Walker (C. Rich)· Zenodo (CERN European Organi...· 0 citations
Companion material for the article Ontology-Constrained Decoding for Small Open Language Models: Structural Gains, Content Trade-offs, and Silent Omission in Clinical Nutrition Abstract Extraction (submitted to IEEE Access, 2026). Six open small language models (Granite-4.0-1B, Qwen3-1.7B, Qwen3-4B-Instruct-2507, Phi-4...
Dongwook Han· Zenodo (CERN European Organi...· 0 citations
Vaayu is a 492M parameter Small Language Model purpose-built for machine-to-machine tool orchestration with native Model Context Protocol support. It autonomously reads and interacts with raw JSON-RPC 2.0 schemas to serve as a secure, local runtime engine for agent loops.
Meet Mendapara· Zenodo (CERN European Organi...· 0 citations
