Large language model (LLM) agents are typically optimized to achieve given objectives, but real-world objectives are often incomplete, ambiguous, or misaligned with underlying needs. This paper proposes a structured architecture for meta-objective reframing—the process of critically examining and reorganizing objective...
Masanao Ishikawa· Zenodo (CERN European Organi...· 0 citations
INT-MMSL-01 is an exploratory experimental protocol developed within the Interstizio Framework to investigate and document computational representations in a locally executed large language model. Phase 1 uses Mistral-7B-Instruct-v0.3 and a preregistered minimal-contrast design. Hidden-state vectors (4096 dimensions) w...
Maria Alvuela Franco· Zenodo (CERN European Organi...· 0 citations
Context: Prompt repetition, the verbatim duplication of an input transforming into , has been shown to improve accuracy for non-reasoning large language models on retrieval and multiple-choice benchmarks [Leviathan et al., 2025]. Objective: We ask whether applying this analogous pattern to fixed delegate instructions p...
Hugues Clouatre· Zenodo (CERN European Organi...· 0 citations
INT-MMSL-01 is an exploratory experimental protocol developed within the Interstizio Framework to investigate and document computational representations in a locally executed large language model. Phase 1 uses Mistral-7B-Instruct-v0.3 and a preregistered minimal-contrast design. Hidden-state vectors (4096 dimensions) w...
Maria Alvuela Franco· Zenodo (CERN European Organi...· 0 citations
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Detecting text synthesized by frontier large language models (LLMs) remains a critical requirement for academic integrity, digital forensics, and media authenticity. Existing zero-shot detectors exhibit severe real-world failure modes: token-curvature methods (DetectGPT, Fast-DetectGPT) require inaccessible white-box m...
Debdip Bandyopadhyay· Zenodo (CERN European Organi...· 0 citations
Dataset. The verified reference database and calculation script behind the narrative review Bioelectrical Parameters of Living Systems (Rohera, 2026). Three manuscripts by the same author draw on this database: the narrative review named above (concept DOI 10.5281/zenodo.22829923), a companion review of the electrical...
Hemant K. Rohera· Zenodo (CERN European Organi...· 0 citations
Change in v1.2.3 (19 September 2026). The Availability-of-data statement is corrected, and nothing else is. It said the deposited database contains 175 records, and it quoted a version DOI alongside the concept DOI. Both had gone stale: the database now holds 210 records, and the version DOI quoted — 10.5281/zenodo.228...
Hemant K. Rohera· Zenodo (CERN European Organi...· 0 citations
This chapter explores the profound and rapidly evolving intersection of plant epigenetics and artificial intelligence (AI). We embark on a chronological journey, tracing the evolution from classical bioinformatics to the transformative impact of deep learning (DL) and large language models (LLMs) in deciphering the int...
H S Sowmya, N. U. Vinod· AI-Driven Plant Biotechnolog...· 0 citations
Dataset. The verified reference database and calculation script behind the narrative review Bioelectrical Parameters of Living Systems (Rohera, 2026). Three manuscripts by the same author draw on this database: the narrative review named above (concept DOI 10.5281/zenodo.22829923), a companion review of the electrical...
Hemant K. Rohera· Zenodo (CERN European Organi...· 0 citations
The integration of artificial intelligence (AI) in plant system biology enables the understanding of plant organization, revealing complex relations at the biological level. Plant systems biology aims at resolving the complex networks that define growth, development, stress responses, and metabolism by reframing inform...
This paper is the second installment in the six-paper series Closure Mathematics and the Construction of Worlds. Paper I compared three developing programs—Closure Mathematics, Ontological Phase Mathematics, and Ontological Mathematics—with the historical maturation of calculus and Clifford/geometric algebra. Its centr...
Philip Lilien· Zenodo (CERN European Organi...· 0 citations
A thin, auditable toolkit for measuring the meaning of nominal and narrative survey responses in the semantic space of large language model embeddings. One request layer over three commercial providers, an analysis layer of permutation-based statistics, and the displays the accompanying paper uses.
Toshizumi Muta· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
