Results 81 to 90 of about 16,728 (252)

MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health

open access: yesFrontiers in Public Health
IntroductionThe increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can compromise clinical communication and policy decisions.MethodsWe
Shan Xu   +5 more
doaj   +1 more source

A Survey of Multimodal Retrieval-Augmented Generation

open access: yesCoRR
Multimodal Retrieval-Augmented Generation (MRAG) enhances large language models (LLMs) by integrating multimodal data (text, images, videos) into retrieval and generation processes, overcoming the limitations of text-only Retrieval-Augmented Generation (RAG). While RAG improves response accuracy by incorporating external textual knowledge, MRAG extends
Lang Mei   +3 more
openaire   +2 more sources

Coixenolide Enhances Antitumor Immunity of Cytotoxic CD8+ T Cells by Inhibiting S100A8/A9‐CD36 Axis in Obesity‐Associated Pancreatic Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Pancreatic adenocarcinoma (PAAD) remains highly lethal with limited treatment options. This study demonstrates that coixenolide, a bioactive compound from Coix lacryma‐jobi L. and a key component of the clinically approved Kanglaite injection, exhibits enhanced antitumor efficacy in high‐fat diet (HFD)‐induced obese mice bearing PAAD tumors compared to
Kaidi Chen   +20 more
wiley   +1 more source

Retrieval Augmented Generation for Historical Newspapers

open access: yesProceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries
Nowadays, the accessibility and long-term preservation of historical records are significantly impacted by the sharp increase in the digitization of these archives. This shift creates new opportunities for researchers and students in multiple disciplines to broaden their knowledge or conduct multidisciplinary research. However, given the vast amount of
The-Trung Tran   +2 more
openaire   +3 more sources

Rab1A Promotes Hepatic Steatosis by Suppressing Mitophagy via the Raf‐1/ERK1/2/PINK1 Signaling Axis

open access: yesAdvanced Science, EarlyView.
Why does fat accumulate in the liver? Our study reveals Rab1A as the molecular switch that silences the cell's mitochondrial cleanup crew. Turning Rab1A off reactivates mitophagy, clears excess fat, and reverses fatty liver disease in mice—offering a promising new therapeutic target for MASLD, a growing global health challenge.
Li Zhang   +9 more
wiley   +1 more source

Fine grained reranking via caption bridging for knowledge augmented visual question answering

open access: yesScientific Reports
Retrieval-Augmented Generation (RAG) has emerged as a pivotal framework for knowledge-intensive reasoning by coupling external retrieval with generative capabilities.
JunZhe Feng   +7 more
doaj   +1 more source

Molecule Generation with Fragment Retrieval Augmentation

open access: yesAdvances in Neural Information Processing Systems 37
Fragment-based drug discovery, in which molecular fragments are assembled into new molecules with desirable biochemical properties, has achieved great success. However, many fragment-based molecule generation methods show limited exploration beyond the existing fragments in the database as they only reassemble or slightly modify the given ones.
Seul Lee   +7 more
openaire   +3 more sources

Innate Immunocompetent hiPSC‐Derived Neurospheroids Capture Early CNS Responses to rAAV

open access: yesAdvanced Science, EarlyView.
Knowledge of human CNS immune responses to AAV‐based gene therapies remains limited due to the lack of immune‐competent human models. Here, a hiPSC‐derived 3D neuroimmune platform integrating neurospheroids and microglia is established using stirred‐tank bioreactors.
Catarina M. Gomes   +14 more
wiley   +1 more source

Enhanced Retrieval-Augmented Generation Using Low-Rank Adaptation

open access: yesApplied Sciences
Recent advancements in retrieval-augmented generation (RAG) have substantially enhanced the efficiency of information retrieval. However, traditional RAG-based systems still encounter challenges, such as high latency in output decision making, the ...
Yein Choi   +3 more
doaj   +1 more source

DuetRAG: Collaborative Retrieval-Augmented Generation

open access: yesCoRR
5 ...
Dian Jiao   +5 more
openaire   +3 more sources

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