Results 51 to 60 of about 5,680 (250)

Correlation between receptive vocabulary skill, syntactic awareness, and word writing

Revista CEFAC
Purpose: to verify the correlation between receptive vocabulary, syntactic awareness, and single-word orthographic writing tests. Methods: a total of 42 third graders from elementary public schools, of both genders, aged 8 to 9 years, participated in ...
Vanessa Magalhães Barbosa, Cláudia da Silva   +1 more
doaj   +2 more sources

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Dificuldades no desenvolvimento da lectoescrita: o papel das habilidades metalingüísticas

Psicologia: Teoria e Pesquisa
Este estudo investigou a relação entre habilidades metalingüísticas (consciência fonológica e sintática) e desempenho na leitura e na escrita (ortografia) de palavras isoladas.
Sandra Regina Kirchner Guimarães
doaj   +1 more source

A Linguistics-Aware LLM Watermarking via Syntactic Predictability

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
As large language models (LLMs) continue to advance rapidly, reliable governance tools have become critical. Publicly verifiable watermarking is particularly essential for fostering a trustworthy AI ecosystem. A central challenge persists: balancing text quality against detection robustness.
Shinwoo Park, Hyejin Park, Hyeseon Ahn, Yo-Sub Han   +3 more
openaire   +2 more sources

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Metalinguistic Awareness of Multilingual First Graders: An Exploratory Study

English Language Teaching Educational Journal, 2020
This study, which utilized a modified metalinguistic awareness test adopted from Dita’s (2009), probed on young children’s metalinguistic awareness in identifying syntactic errors; determining sounds and the use of phonological segments; and ...
Irish Mae Dalona, Alvert Dael Dalona
doaj   +1 more source

Written narrative of students with and without difficulty in syntactic awareness

Journal of Human Growth and Development, 2020
Introduction: Syntactic awareness is a metalinguistic ability defined as the child’s ability to reflect on formal processes relating to the organization of words in sentences and to manipulate them. This skill is still little explored in the context of school learning, and its importance in the school learning process of Portuguese-speaking children is
Ana Claudia Constant Soares, Patrícia Aparecida Zuanetti, Kelly da Silva, Raphaela Barroso Guedes-Granzotti, Marisa Tomoe Hebihara Fukuda   +4 more
openaire   +2 more sources

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source