Recent international evaluations show a decline in adolescent literacy and complex cognitive skills. The decline is clearest in capacities needed in the digital era, such as evaluating information, integrating multiple sources, and critical reading (OECD, 2026). This drop has been most pronounced among socio-economical...
Ernesto Guerra, Ivan A. Aslanov· Open Science Framework· 0 citations
Background: Tinnitus is a heterogeneous percept that becomes a disorder when it is accompanied by clinically meaningful distress or functional impairment. Hearing loss is a major contributor, while temporomandibular, cervical, sleep, psychological, and contextual factors can shape symptom expression. This heterogeneity...
Alessandro Carollo, Daniele Puzzilli, Pasquale Longo et al.· Life· 0 citations
Abstract of Cache-Fused Kinematic Rails: Ex-Ante Silicon Alignment via In-Vivo KV-Cache Metric Grafting Current Large Language Model (LLM) alignment relies primarily on post-hoc, output-level correction mechanisms such as external API meta-governors, Reinforcement Learning from Human Feedback (RLHF), or post-generation...
Daniel Solis· Zenodo (CERN European Organi...· 0 citations
Extreme multi-label classification asks a model to identify a small set of relevant labels from a large catalog. A general-purpose language model can write label identifiers as text, but the same pretrained Transformer can instead score every label in one pass. We study this output-interface choice on a fixed 20,000-ex...
Vishesh Yadav· Zenodo (CERN European Organi...· 0 citations
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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
Retrieval-Augmented Generation (RAG) has emerged as a principled solution to the knowledge limitations of large language models (LLMs). We design and implement a complete RAG pipeline built on LangChain, ChromaDB with HNSW indexing, BAAI/bge-small-en-v1.5 embeddings, and LLaMA 3.3 70B deployed on Groq LPU infrastructur...
Aymen Ahmed Fouatih, Oussama Djebbar Senouci· Zenodo (CERN European Organi...· 0 citations
Code accompanying the manuscript "Standard Group Relative Reinforcement Learning Is Unstable on Small Masked-Diffusion Language Models: A Controlled Study and Five Rejected Explanations," submitted to Scientific Reports. Includes the reinforcement learning driver, the supervised fine-tuning and evaluation scripts writt...
Young-Jin Kang, Ki-Hwan Kim, Seok Chan Jeong· Zenodo (CERN European Organi...· 0 citations
The emergence of Large Language Models (LLMs) presents a dual challenge in the fight against disinformation. These powerful tools, capable of generating human-like text at scale, can be weaponised to produce sophisticated disinformation, yet they also hold promise for enhancing mitigation strategies. This paper investi...
Gionnieve Lim, Bryan Chen Zhengyu Tan, Kellie Sim et al.· Proceedings of the ACM on Hu...· 0 citations
Replication package for the paper "When Retrieval Helps and When It Hurts: A Pre-Registered Cross-Lingual RAG Benchmark for Small Language Models in Greek and Georgian" (submitted to Baltic Journal of Modern Computing, 2026). Contains: all pipeline scripts (01–11), the final question dataset (230 K-12 science questions...
Christos Pappas· Zenodo (CERN European Organi...· 0 citations
