Results 91 to 100 of about 16,728 (252)

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation

open access: yesBioengineering
Large language models (LLMs) are trained on huge datasets, which allow them to answer questions from various domains. However, their expertise is confined to the data that they were trained on. In order to specialize LLMs in niche domains like healthcare,
Bhagyajit Pingua   +6 more
doaj   +1 more source

Question Decomposition for Retrieval-Augmented Generation

open access: yesProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Grounding large language models (LLMs) in verifiable external sources is a well-established strategy for generating reliable answers. Retrieval-augmented generation (RAG) is one such approach, particularly effective for tasks like question answering: it retrieves passages that are semantically related to the question and then conditions the model on ...
Paul J. L. Ammann   +2 more
openaire   +3 more sources

Disrupted TFEB/GDNF–cAMP/ATP Coupling Underlies Astrocytic Dysfunction and Depression in LRRK2 G2019S Parkinson's Mice

open access: yesAdvanced Science, EarlyView.
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao   +5 more
wiley   +1 more source

Semantic Tokens in Retrieval Augmented Generation

open access: yesCoRR
Retrieval-Augmented Generation (RAG) architectures have recently garnered significant attention for their ability to improve truth grounding and coherence in natural language processing tasks. However, the reliability of RAG systems in producing accurate answers diminishes as the volume of data they access increases.
openaire   +3 more sources

Mitochondrial SLC25A46 Rewires Fatty Acid Oxidation to Promote Cell Proliferation and Ferroptosis Evasion in Ovarian Cancer by Stabilizing CACT

open access: yesAdvanced Science, EarlyView.
Mitochondrial SLC25A46 is upregulated in ovarian cancer (OC) and correlates with poor prognosis. SLC25A46 stabilizes CACT to activate fatty acid oxidation, increasing ATP and NADPH production to drive cell proliferation and ferroptosis evasion. SLC25A46 silencing sensitizes OC cells to ferroptosis and carboplatin, offering a promising therapeutic ...
Yunge Gao   +9 more
wiley   +1 more source

Multimodal retrieval-augmented generation framework for machine translation

open access: yesETRI Journal
The development of multimodal machine translation (MMT) systems has attracted significant interest due to their potential to enhance translation accuracy with visual information.
Shijian Li
doaj   +1 more source

Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

open access: yesProceedings of the International Florida Artificial Intelligence Research Society Conference
Cache Augmented Generation (CAG) can be an alternative to Retrieval Augmented Generation (RAG). There are differences between the two frameworks, but they work largely in the same way.
Cengiz Gunay, Jonathan Tran
doaj   +1 more source

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

open access: yesAdvanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren   +8 more
wiley   +1 more source

GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering

open access: yesComputers
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan   +4 more
doaj   +1 more source

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