Retrieval-augmented generation for large language models: A survey
Y Gao, Y **ong, X Gao, K Jia, J Pan, Y Bi, Y Dai… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) demonstrate powerful capabilities, but they still face
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …
natural language processing (NLP), fueling a paradigm shift in information acquisition …
From matching to generation: A survey on generative information retrieval
Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …
applied in scenarios like search engines, question answering, and recommendation …
Retrieval-augmented generation for ai-generated content: A survey
The development of Artificial Intelligence Generated Content (AIGC) has been facilitated by
advancements in model algorithms, scalable foundation model architectures, and the …
advancements in model algorithms, scalable foundation model architectures, and the …
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 …
Fine tuning vs. retrieval augmented generation for less popular knowledge
Language Models (LMs) memorize a vast amount of factual knowledge, exhibiting strong
performance across diverse tasks and domains. However, it has been observed that the …
performance across diverse tasks and domains. However, it has been observed that the …
Feb4rag: Evaluating federated search in the context of retrieval augmented generation
Federated search systems aggregate results from multiple search engines, selecting
appropriate sources to enhance result quality and align with user intent. With the increasing …
appropriate sources to enhance result quality and align with user intent. With the increasing …
A survey of conversational search
As a cornerstone of modern information access, search engines have become
indispensable in everyday life. With the rapid advancements in AI and natural language …
indispensable in everyday life. With the rapid advancements in AI and natural language …
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?
By leveraging the retrieval of information from external knowledge databases, Large
Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge …
Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge …
IR-RAG@ SIGIR24: Information retrieval's role in RAG systems
In recent years, Retrieval Augmented Generation (RAG) systems have emerged as a pivotal
component in the field of artificial intelligence, gaining significant attention and importance …
component in the field of artificial intelligence, gaining significant attention and importance …