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 …
Security and privacy challenges of large language models: A survey
Large language models (LLMs) have demonstrated extraordinary capabilities and
contributed to multiple fields, such as generating and summarizing text, language …
contributed to multiple fields, such as generating and summarizing text, language …
Recommendation as instruction following: A large language model empowered recommendation approach
In the past decades, recommender systems have attracted much attention in both research
and industry communities. Existing recommendation models mainly learn the underlying …
and industry communities. Existing recommendation models mainly learn the underlying …
Towards open-world recommendation with knowledge augmentation from large language models
Recommender system plays a vital role in various online services. However, its insulated
nature of training and deploying separately within a specific closed domain limits its access …
nature of training and deploying separately within a specific closed domain limits its access …
Large language models are effective text rankers with pairwise ranking prompting
Ranking documents using Large Language Models (LLMs) by directly feeding the query and
candidate documents into the prompt is an interesting and practical problem. However …
candidate documents into the prompt is an interesting and practical problem. However …
Dense text retrieval based on pretrained language models: A survey
Text retrieval is a long-standing research topic on information seeking, where a system is
required to return relevant information resources to user's queries in natural language. From …
required to return relevant information resources to user's queries in natural language. From …
How can recommender systems benefit from large language models: A survey
With the rapid development of online services and web applications, recommender systems
(RS) have become increasingly indispensable for mitigating information overload and …
(RS) have become increasingly indispensable for mitigating information overload and …
Don't make your llm an evaluation benchmark cheater
Large language models~(LLMs) have greatly advanced the frontiers of artificial intelligence,
attaining remarkable improvement in model capacity. To assess the model performance, a …
attaining remarkable improvement in model capacity. To assess the model performance, a …
Llm for soc security: A paradigm shift
As the ubiquity and complexity of system-on-chip (SoC) designs increase across electronic
devices, incorporating security into an SoC design flow poses significant challenges …
devices, incorporating security into an SoC design flow poses significant challenges …
Grounding and evaluation for large language models: Practical challenges and lessons learned (survey)
With the ongoing rapid adoption of Artificial Intelligence (AI)-based systems in high-stakes
domains, ensuring the trustworthiness, safety, and observability of these systems has …
domains, ensuring the trustworthiness, safety, and observability of these systems has …