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[PDF][PDF] A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and …
Astute rag: Overcoming imperfect retrieval augmentation and knowledge conflicts for large language models
Retrieval-Augmented Generation (RAG), while effective in integrating external knowledge to
address the limitations of large language models (LLMs), can be undermined by imperfect …
address the limitations of large language models (LLMs), can be undermined by imperfect …
Language agents achieve superhuman synthesis of scientific knowledge
Language models are known to hallucinate incorrect information, and it is unclear if they are
sufficiently accurate and reliable for use in scientific research. We developed a rigorous …
sufficiently accurate and reliable for use in scientific research. We developed a rigorous …
A survey on data synthesis and augmentation for large language models
K Wang, J Zhu, M Ren, Z Liu, S Li, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The success of Large Language Models (LLMs) is inherently linked to the availability of vast,
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
Lightrag: Simple and fast retrieval-augmented generation
Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs)
by integrating external knowledge sources, enabling more accurate and contextually …
by integrating external knowledge sources, enabling more accurate and contextually …
Sfr-rag: Towards contextually faithful llms
Retrieval Augmented Generation (RAG), a paradigm that integrates external contextual
information with large language models (LLMs) to enhance factual accuracy and relevance …
information with large language models (LLMs) to enhance factual accuracy and relevance …
Chatqa 2: Bridging the gap to proprietary llms in long context and rag capabilities
In this work, we introduce ChatQA 2, an Llama 3.0-based model with a 128K context
window, designed to bridge the gap between open-source LLMs and leading proprietary …
window, designed to bridge the gap between open-source LLMs and leading proprietary …
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation
Large language models (LLMs) have advanced the field of artificial intelligence (AI) in
medicine. However LLMs often generate outdated or inaccurate information based on static …
medicine. However LLMs often generate outdated or inaccurate information based on static …
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is a state-of-the-art technique that mitigates issues
such as hallucinations and knowledge staleness in Large Language Models (LLMs) by …
such as hallucinations and knowledge staleness in Large Language Models (LLMs) by …