Results 91 to 100 of about 36,775 (295)
Retrieval-Augmented Generation with Conflicting Evidence
CoRRLarge language model (LLM) agents are increasingly employing retrieval-augmented generation (RAG) to improve the factuality of their responses. However, in practice, these systems often need to handle ambiguous user queries and potentially conflicting information from multiple sources while also suppressing inaccurate information from noisy or ...
Han Wang +3 more
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Lymphoid‐Tissue‐on‐Chip Recapitulates Human Antibody Responses In Vitro
Advanced Science, EarlyView.The presented lymphoid‐tissue‐on‐chip system allows culture of primary human tonsil cells at organotypic high density under perfusion for up to 4 weeks, emulates immune response to soluble vaccines and vaccination via peripheral antigen‐presenting cells and represents a useful tool to assess cellular interactions during homeostasis, immune responses ...
Claudia Teufel +15 more
wiley +1 more source
Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal
<p>Existing approaches to automated literature review generation either summarize or generate citation text for individual scientific articles relevant to the target manuscript independently without considering their relationship to other relevant ...
Beyond Retrieval
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KAQG: A Knowledge-Graph-Enhanced RAG for Difficulty-Controlled Question Generation
IEEE AccessThis study introduces Knowledge Augmented Question Generation (KAQG), an educational assessment framework that integrates Item Response Theory (IRT), Bloom’s Taxonomy, and knowledge graphs into a multi-agent Retrieval-Augmented Generation (RAG ...
Ching Han Chen, Ming Fang Shiu
doaj +1 more source
Retrieval-augmented generation in multilingual settings
Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024)Retrieval-augmented generation (RAG) has recently emerged as a promising solution for incorporating up-to-date or domain-specific knowledge into large language models (LLMs) and improving LLM factuality, but is predominantly studied in English-only settings. In this work, we consider RAG in the multilingual setting (mRAG), i.e.
Nadezhda Chirkova +5 more
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Liquid Metal Nanotransformers for Drug‐Resistant Pan‐Cancer Therapy in Patient‐Derived Organoids
Advanced Science, EarlyView.Pan‐cancer therapies are severely limited in drug‐resistance patients due to genetic mutations and other factors, resulting in poor therapeutic outcomes and constrained clinical benefit. Liquid metal nanotransformers, a new class of shape‐transformable nanomaterials capable of dramatic morphological changes, offer a promising physical strategy to ...
Xiaojie Yuan +19 more
wiley +1 more source
FictionRAG: A Stateful Metacognitive Framework for High-Fidelity Long-Narrative Role-Playing
AlgorithmsMaintaining high-fidelity character personas and tracking trusted narrative facts remain significant challenges for LLM-based role-playing systems, particularly in long-context scenarios. Traditional Retrieval-Augmented Generation (RAG) approaches, which
Yifei Deng +3 more
doaj +1 more source
QA-SQL: query-augmented SQL generation using few-shot prompting with data augmentation [PDF]
PeerJ Computer ScienceNatural Language to Structured Query Language (NL-to-SQL) models make it easier to retrieve data from structured databases by converting plain language queries into Structured Query Language (SQL) commands.
Sokheang Chan +3 more
doaj +2 more sources
Semantic Tokens in Retrieval Augmented Generation
CoRRRetrieval-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 +2 more sources
Efficient retrieval-augmented generation [PDF]
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo termsThe student, Ziyi Chen, accepted the attached license on 2024-04-28 at 15:42.The student, Ziyi Chen ...
Chen, Ziyi
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