Results 101 to 110 of about 5,232 (309)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Opening Pandora’s box: Is learner corpus research inclusive enough?

Following the LCR 2024 organizers’ call to “champion corpus research involving learning of smaller languages and by learners with a small L1, as well as language learning in plurilingual settings”,1 this presentation aims to move the debate beyond the ...
7th Learner Corpus Research Conference (LCR 2024), Gilquin, Gaëtanelle   +1 more
core  

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

The Pedagogical Mediation of a Developmental Learner Corpus for Classroom-Based Language Instruction [PDF]

Language Learning and Technology, 2008
Although corpora have been used in language teaching for some time, few empirical studies explore their impact on learning outcomes. We provide a microgenetic account of learners’ responses to corpus-driven instructional units for German modal particles ...
Julie A. Belz, Nina Vyatkina
doaj  

Ten years of the International Journal of Learner Corpus Research

International Journal of Learner Corpus Research
NA
Sandra Götz, Magali Paquot
openaire   +2 more sources

How do educational settings at the secondary level impact on learners' use of the English passive? – Evidence from the Secondary-Level Corpus of Learner English (SCooLE)

, 2013
In the south-west of Germany, the educational system at the secondary level offers a variety of settings for language learning and acquisition. In more and more schools, EFL (English as a Foreign Language) education is being supplemented with CLIL ...
Möller, Verena, Learner Corpus Research
core  

Introducing the CLAP project: Adaptive Comparative Judgment as a community-based solution for enriching learner corpora with crowdsourced L2 proficiency assessment

, 2022
Though proficiency is one of the most important constructs in Second Language Research, its measurement has not always received the attention it deserves, and practices of proficiency level assignment have been the subject of continued criticism (e.g ...
Vandeweerd, Nathan, Rubin, Rachel, Learner Corpus Research 6, Paquot, Magali   +3 more
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Expanding the scope of complexity research in SLA: a phraseological perspective

, 2019
Usage-based research in corpus linguistics, psycholinguistics and cognitive linguistics has provided convergent evidence that lexis and grammar are inextricably intertwined and that word combinations, be they framed in terms of phraseological units ...
5th Learner Corpus Research conference, Paquot, Magali   +1 more
core  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source