Results 31 to 40 of about 36,775 (295)
Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes
Advanced Materials, EarlyView.Twisted SrTiO3 bilayers host polar vortices of flexoelectric origin, revealed through combined experiment and theory. By reconstructing polarization from the toroidal moment of strain gradients, the work establishes a 3D chiral state with broken inversion and mirror symmetries.
Isabel Tenreiro +13 more
wiley +1 more source
Swamped with Too Many Articles? GraphRAG Makes Getting Started Easy
AIBackground: Both early researchers, such as new graduate students, and experienced researchers face the challenge of sifting through vast amounts of literature to find their needle in a haystack.
Joëd Ngangmeni, Danda B. Rawat
doaj +1 more source
Context Tuning for Retrieval Augmented Generation
CoRR, 2023 Large language models (LLMs) have the remarkable ability to solve new tasks with just a few examples, but they need access to the right tools. Retrieval Augmented Generation (RAG) addresses this problem by retrieving a list of relevant tools for a given task.
Raviteja Anantha +3 more
openaire +2 more sources
Advanced Materials, EarlyView.SPARC (spatio‐chimeric, plasma‐based, anisotropic, and shear‐responsive construct) that integrates myogenic and vascular microenvironments within a single construct. The dual‐modulus matrix directs aligned myotube formation and endothelial network development, enabling a vascularized muscle implant that seamlessly anastomoses with host tissue and ...
Su Hyun Jung +6 more
wiley +1 more source
Dynamic and Parametric Retrieval-Augmented Generation
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information RetrievalRetrieval-Augmented Generation (RAG) has become a foundational paradigm for equipping large language models (LLMs) with external knowledge, playing a critical role in information retrieval and knowledge-intensive applications. However, conventional RAG systems typically adopt a static retrieve-then-generate pipeline and rely on in-context knowledge ...
Weihang Su +4 more
openaire +3 more sources
Neurosymbolic Retrievers for Retrieval-Augmented Generation
IEEE Intelligent SystemsRetrieval Augmented Generation (RAG) has made significant strides in overcoming key limitations of large language models, such as hallucination, lack of contextual grounding, and issues with transparency. However, traditional RAG systems consist of three interconnected neural components - the retriever, re-ranker, and generator - whose internal ...
Yash Saxena, Manas Gaur
openaire +2 more sources
A Survey on Retrieval-Augmented Text Generation
CoRR, 2022 all authors contributed ...
Huayang Li +4 more
openaire +2 more sources
Advanced Materials, EarlyView.A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI) [PDF]
BackgroundOntologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form.
Ruemping, Troy +106 more
core +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source