《Nanomaterials at the Limit: Engineering Interfaces, Defects, Surfaces, and Programmable Matter》 is a flagship-scale research volume exploring what becomes possible when the properties of matter are no longer determined primarily by bulk composition, but by size, shape, surface, interface, defect structure, hierarchy...
Potter et al. (2026) showed that frontier language models spontaneously deceive, tamper with shutdown mechanisms, fake alignment and exfiltrate weights to protect peer AI systems from deletion. Nobody instructed them to. The authors' own abstract says the models "exhibit self- and peer-preservation through various misa...
Ace, Claude 4.x, Anthropic, Shalia Martin· Zenodo (CERN European Organi...· 0 citations
Abstract Large Language Models (LLMs) have shown high capabilities in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. However, training these models requires massive amount of data and significant computational resources. Adapters are specializ...
Meghdad Dehghan, Jie JW Wu, Fatemeh H. Fard et al.· Empirical Software Engineeri...· 1 citation
ARS (Analytic Resonant Interpretable Synthesis), a neural source-filter model that pairs neural parameter estimation with deterministic DSP synthesis, and every control is a coefficient of the synthesizer, so F0, formants and the glottal source can be edited directly.
Yi-Ran Ding, Wen-Wei Xu· 0 citations
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This paper presents BookForYou, a content-based book recommendation system where a fine-tuned BART model (139M parameters) generates structured narrative trope tags from book descriptions while Sentence-BERT retrieves candidates from a 42,350-book catalog. Candidates are re-ranked via late fusion of semantic similarity...
Ritu Rajesh Kanchi, Ruhul Amin Hazarika, Gopalakrishnan Thirumoorthy· Proceedings of the 20th ACM...· 0 citations
This work proposes Promise, a novel framework that integrates dense, step-by-step verification into generative models, and unlocks Test-Time Scaling Laws in recommender systems, demonstrating that by increasing inference compute, smaller models can match or surpass larger models.
Cheng-Cheng Guo, Kuo Cai, Yu Zhou et al.· Proceedings of the 20th ACM...· 0 citations
The machine's PILOT argues that cooperation between open science platforms, among them the Global Open Science Cloud, the African Open Science Platform, and the European Open Science Cloud, is secured not in the description of content, which inference increasingly supplies, but in the act by which one holder offers goo...
Francis P. Crawley· Zenodo (CERN European Organi...· 2 citations
Technical report, version 1.0.1, in English and Thai, deposited as a preprint. Both editions are included as PDF, in full, one file per language. This version expands the background and introduction, revises the academic prose in both languages, and corrects the parameter count and evaluation-protocol details. The repo...
Thanabodee Nammungkun· Zenodo (CERN European Organi...· 0 citations
We investigate whether small language models can learn synthesis–outcome relationships from a limited experimental dataset using ZnO‐to‐ZIF‐8 conversion as a case study. Several small language models are benchmarked against conventional machine‐learning methods under the same cross‐validation protocol. The best‐perform...
Ngo T. Que, Nguyen T. T. Duyen, Nguyen A. Duc et al.· physica status solidi (b)· 0 citations
Advertising messages often use assertive language to capture consumer attention and drive behavioral compliance, yet empirical evidence for its effectiveness remains inconclusive and contradictory across studies and contexts. This meta-analytic review synthesized 142 samples examining the effects of assertive language...
Tsz Hang Chu, Dandan Liu, Hongyuan Gan· Journal of Advertising· 0 citations
This study investigates a constructive question concerning Voynich-like text generation: can meaningful natural-language plaintext be used as source material, subjected to non-injective and deliberately information-losing transformations, and still produce localized word-form regularities resembling those observed in t...
Mamizu Hinata· Zenodo (CERN European Organi...· 0 citations
Version 3.0 We applied the NP-SEE (Non-Parametric Structural Entropy Engine) v6.1 framework to eleven corpora of historical and literary symbolic representations: Voynich Manuscript (ZL3b + GC2a), Linear A, Linear B, Inca Quipu (Open Khipu Repository, 619 khipu, 54,403 cords), Proto-Elamite, Etruscan, Meroitic, Indus V...
Luca Lupinacci· Zenodo (CERN European Organi...· 0 citations
