Results 81 to 90 of about 1,949,584 (296)
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
, 2009 Since the early days of discourse analysis coreference has always been considered a major factor in the formation of texts and dialogues. The repetition of nominal elements and the anaphoric use of pronouns in successive sentences is a fundamental ...
Fritz, Gerd
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Journal for Deradicalization, 2018 Much of the rhetoric spread by jihadist organisations seems to indicate a strong commitment towards a set of religious and political ideas. But does cognitive extremism really lead to violent extremism?
Jakob Guhl
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Enhancing the Effectiveness of Social Dialogue Articulation in Europe (EESDA) Project No. VS/2017/0434 Social Dialogue Articulation and Effectiveness: Country Report for France [PDF]
, 2017 This report presents a country study analysing the articulation and effectiveness of social dialogue in France. The methodological approach relies on desk research and semi-structured interviews with social partners in France, aiming at obtaining deeper ...
Akgüç, Mehtap +2 more
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Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
, 2017 We study a symmetric collaborative dialogue setting in which two agents, each with private knowledge, must strategically communicate to achieve a common goal.
Balakrishnan, Anusha +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Conscientization, Dialogue and Collaborative Problem Based Learning
Journal of Problem Based Learning in Higher Education, 2013 It has been argued that Paulo Freire’s concept of conscientization, where critical awareness and engagement are central to a problem-posing pedagogy, provides the philosophical principles to underpin Problem Based Learning (PBL). By using dialogue groups
Conscientization, Dialogue and Collaborative Problem Based Learning
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