Results 111 to 120 of about 89,234 (277)

Icariin Enhances the Enzymatic Activity of N‐acetylgalactosaminidase to Augment Akkermansia Abundance in Gut Microbiota for Improved PD‐1 Blockade Efficacy in Tumor Suppression

open access: yesAdvanced Science, EarlyView.
Icariin promoted the growth of Akk by enhancing the activity of N‐acetylgalactosaminidase (Amuc_0920), which enhanced mucin utilization and provided a favorable nutrient environment for bacterial growth. This icariin‐mediated enrichment of Akk further reshaped the tumor microenvironment and promoted CD8+ T cell infiltration, ultimately synergizing with
Shuangying Qiao   +12 more
wiley   +1 more source

Context Awareness Gate for Retrieval Augmented Generation

open access: yes2024 15th International Conference on Information and Knowledge Technology (IKT)
Retrieval Augmented Generation (RAG) has emerged as a widely adopted approach to mitigate the limitations of large language models (LLMs) in answering domain-specific questions. Previous research has predominantly focused on improving the accuracy and quality of retrieved data chunks to enhance the overall performance of the generation pipeline ...
Heydari, Mohammad Hassan   +3 more
openaire   +2 more sources

Tumor‐Derived Alpha‐1 Antitrypsin Promotes Liver Metastasis of Colorectal Cancer Through the Neutrophil Extracellular Traps–CCDC25 Pathway

open access: yesAdvanced Science, EarlyView.
ABSTRACT Liver metastasis is a leading cause of mortality in colorectal cancer (CRC), where the inflammatory tumor microenvironment, specifically neutrophil infiltration, significantly promotes metastatic colonization. This study reveals a pro‐metastatic role for alpha‐1 antitrypsin (A1AT) in CRC liver metastasis via a dual mechanism involving ...
Qian Fei   +11 more
wiley   +1 more source

Retrieval augmented generation for building datasets from scientific literature

open access: yesJPhys Materials
In this work, we show that employing retrieval augmented generation (RAG) with a large language model (LLM) enables us to extract accurate data from scientific literature and construct datasets.
Piyush Ranjan Maharana   +2 more
doaj   +1 more source

Retrieval Augmented Comic Image Generation

open access: yes
We present RaCig, a novel system for generating comic-style image sequences with consistent characters and expressive gestures. RaCig addresses two key challenges: (1) maintaining character identity and costume consistency across frames, and (2) producing diverse and vivid character gestures.
Shui, Yunhao   +10 more
openaire   +2 more sources

NIPAL1 Drives a Metabolic‐Epigenetic Feedback Loop to Promote Lactate‐Mediated Immune Evasion in Esophageal Cancer

open access: yesAdvanced Science, EarlyView.
The study identifies a NIPAL1‐driven metabolic‐epigenetic circuit in esophageal squamous cell carcinoma that promotes glycolysis, lactate accumulation, and H3K18 histone lactylation, forming a self‐sustaining loop that suppresses CD8+ T cell immunity.
Ri‐Xin Chen   +15 more
wiley   +1 more source

Question Answering Enhancement Method for Large Educational Models Based on Re-ranking and Post-retrieval Reflection

open access: yes大数据
Computer education is one of the requirements of modern information society education. With the development of large language models, there has been increasing attention on applying these models to the computer education process.
SUN Haoran   +3 more
doaj  

Leveraging Retrieval-Augmented Generation for Automated Smart Home Orchestration

open access: yesFuture Internet
The rapid growth of smart home technologies, driven by the expansion of the Internet of Things (IoT), has introduced both opportunities and challenges in automating daily routines and orchestrating device interactions.
Negin Jahanbakhsh   +5 more
doaj   +1 more source

Clustered Retrieved Augmented Generation (CRAG)

open access: yes
Providing external knowledge to Large Language Models (LLMs) is a key point for using these models in real-world applications for several reasons, such as incorporating up-to-date content in a real-time manner, providing access to domain-specific knowledge, and contributing to hallucination prevention.
Akesson, Simon, Santos, Frances A.
openaire   +2 more sources

RAGAs: Automated Evaluation of Retrieval Augmented Generation

open access: yesProceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Reference-free (not tied to having ground truth available) evaluation framework for retrieval agumented ...
Es, Shahul   +3 more
openaire   +2 more sources

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