Téléchargements / Downloads 01_Deligne_EN.pdf 02_Deligne_EN.tex 03_Deligne_Source.zip 04_Deligne_FR.pdf 05_Deligne_FR.tex 06_DELIGNE_PROVENANCE_AUDIT_D042.zip 07_README_FR_EN.md Pierre Deligne — Éditions française et anglaise / French and English editions Français Lire et obtenir les sources Cette édition cumulative co...
Pierre Deligne· Zenodo (CERN European Organi...· 6 citations
Earth’s gravity fundamentally shapes human behavior. The brain encodes this force as an internal model of gravity , enabling the prediction and interpretation of gravitational effects during perception and action. Understanding how this model adapts to altered gravity is critical for predicting human performance in spa...
Abstract Laboratory medicine has witnessed three generational paradigm shifts over the past 75 years – from manual work to early automation, from batch processing to patient-oriented selective analysis, and from human perianalytics to Total Laboratory Automation (TLA). Drawing on a personal trajectory spanning half a c...
Georg Hoffmann· Journal of Laboratory Medici...· 0 citations
Purpose This study examines how users interpret identity-disclosed social bots on social media, how perceived human–machine differences shape psychological response orientations and how these orientations are enacted through visible engagement behaviours. Design/methodology/approach Drawing on a prior online experiment...
Hao Xu, Shaobo Liang, Jing Dong et al.· Aslib Journal of Information...· 0 citations
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Replication package for the paper "Evaluating LLMs for Single-File Modernization of Legacy PHP: Source Modernization versus Behavioral Preservation." The study evaluates five large language models (Claude Sonnet 4, Gemini 2.5 Pro, Gemini 2.5 Flash, GPT-5 Codex, and Llama 3.3 70B Instruct) on modernizing 100 WordPress 4...
Anonymous· Zenodo (CERN European Organi...· 0 citations
The results demonstrate the feasibility of the proposed framework for producing consistent sentence-level semantic extraction from quality-related construction requirement text and demonstrate how ontology-guided fine-tuning can provide explicit semantic grounding for LLM-based information extraction.
Lian-Nian Wang, Jeongbin Hwang, Kevin Han et al.· Journal of Management in Eng...· 0 citations
Abstract Background Clustered regularly interspaced short palindromic repeats (CRISPR) and their associated (Cas) proteins play a vital role in prokaryotic adaptive immune systems, defending against foreign genetic material. However, the classification of CRISPR-Cas systems remains challenging due to limited direct ide...
Ningyi Zhang, Yufeng Zhao, Chenhan Luo et al.· BMC Bioinformatics· 0 citations
Wastewater treatment plants (WWTPs) need mechanistic models that explain carbon, nitrogen, and phosphorus transformations under changing operating conditions. Building activated sludge models (ASMs) still depends heavily on expert choices about boundaries, components, and reactions. We developed AutoWWTP-ASM, an audi...
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Two literatures make claims about what happens when a language model trains on data that resembles its own distribution. One asks whether reinforcement learning forgets a model's prior capabilities less than supervised fine-tuning does, and answers yes: on-policy R...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
(c) 2026 Pranay Mahendrakar. Licensed under CC BY 4.0. Two literatures make claims about what happens when a language model trains on data that resembles its own distribution. One asks whether reinforcement learning forgets a model's prior capabilities less than supervised fine-tuning does, and answers yes: on-policy R...
Pranay M. Mahendrakar· Zenodo (CERN European Organi...· 0 citations
Long-horizon interactions with large language models are commonly described as context conditioning, personalization, or memory retrieval. This exploratory single-dyad case study does not dispute those mechanisms. It asks a narrower question: what empirical pattern would justify a higher-level description in which the...
Marijo Kržić· Zenodo (CERN European Organi...· 0 citations
Documentation only. Changes since 1.0.2 (details in CHANGELOG.md): docs/errata_2026-09-24.md: note 4 added, recording where the generative-AI disclosure planned in Amendment 6 is made. README.md: the Withheld section names the internal review reports, manuscript drafts, screening-test items and scratch backups that the...
Rohit Gundam· 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
