This dataset relates to the manuscript "A flexible language model-assisted electronic design automation framework" authored by Cristian Sestito, Panagiota Kontou, Pratibha Verma, Atish Dixit, Alexandros D. Keros, Michael O'Boyle, Christos-Savvas Bouganis, and Themis Prodromakis, accepted for publication in Scientific R...
Cristian Sestito, Panagiota Kontou, Pratibha Verma et al.· University of Edinburgh· 0 citations
Modeling fine-grained survey distributions for high-cardinality large language model prediction is challenging under mixed-cardinality supervision. Because low-cardinality surveys dominate training, standard label distribution learning (LDL) develops positional bias toward early response regions and fails to generalize...
Jianhao Li, Haijiang Liu, Zixiang Meng et al.· International Journal of Web...· 0 citations
Solid-state batteries (SSBs) represent a next-generation energy storage technology. However, the wide diversity of solid-state electrolyte (SSE) chemistries, coupled with the complexity of their synthesis and processing routes, makes systematic investigation, knowledge reuse, and database construction particularly chal...
Xing-Yu Zhou, Xue-Bing Han, Chen Li et al.· Journal of Energy Storage· 0 citations
Abstract Triage of rheumatology outpatient referrals is a high-volume administrative task that consumes senior specialist time without advancing patient care. The human triage system is only moderately accurate and reproducible. We assessed whether contemporary large language models (LLMs) are able to perform well enou...
Lynden J. Roberts· Rheumatology International· 0 citations
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This dataset provides the supplementary data and reproducibility materials accompanying the systematic literature review Beyond Emotion Scores: Evaluating Emotional AI Across Benchmarks, Cultures, and Time in the LLM Era - A Systematic Review. The review covers literature published from 1 January 2019 to 26 September 2...
Soluble urokinase plasminogen activator receptor (suPAR) reflects systemic immune activation and biological vulnerability and has been proposed as a cross-diagnostic prognostic biomarker in emergency care. We systematically reviewed full-text English-language reports published from 1 January 2015 through 20 July 2026 i...
Άννα Καρπουζά, Foteini Malli, Ioannis Pantazopoulos et al.· Sci· 0 citations
Large language models have shown very strong abilities on complex reason work, but they still have many problems, these problems include error accumulation and hallucinations. Therefore, letting these models have the ability of self-reflection and error correction has hence become a core research focus. This research p...
Longkai Liu· Mathematical Modeling and Al...· 0 citations
Evaluation materials for the paper "GeoAct: action-level access control for agentic geospatial analysis with local large language models". GeoAct is a geospatial agent that plans and executes spatial-analysis tool calls on behalf of a user in a multi-tenant spatial data infrastructure. Every tool invocation is authoris...
Ehsan Khoramshahi· Zenodo (CERN European Organi...· 0 citations
As natural language corpora expand at an unprecedented rate, manual
annotation remains a significant methodological bottleneck in corpus linguistic work. We
address this challenge by presenting a scalable pipeline for automating grammatical
annotation using large language models (LLMs). We demonstrate the pipeli...
Cameron Morin, Matti Marttinen Larsson· International Journal of Cor...· 0 citations
English translation of a term paper (Kursovaya rabota) originally written in Russian and submitted in 2012 at the Department of General History, Dostoevsky Omsk State University, Russia; supervisor: E. N. Efimenko. This is undergraduate coursework, posted as is; the abstract and keywords were added by the translator an...
Marina Zub· Zenodo (CERN European Organi...· 0 citations
Reproducibility is not only a cornerstone of the advancement of science, but also of scientific credibility. However, it remains a persistent challenge across many disciplines, and it is now referred to as the “reproducibility crisis.” This issue is particularly relevant in computational modeling. In this paper, we wan...
Benjamin Antunes, Hanae Havion, Étienne Delay et al.· Complex & Intelligent System...· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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