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A survey on evaluation of large language models
Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …
industry, owing to their unprecedented performance in various applications. As LLMs …
Unleashing the potential of prompt engineering in large language models: a comprehensive review
This comprehensive review delves into the pivotal role of prompt engineering in unleashing
the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence …
the capabilities of Large Language Models (LLMs). The development of Artificial Intelligence …
Large language models in finance: A survey
Recent advances in large language models (LLMs) have opened new possibilities for
artificial intelligence applications in finance. In this paper, we provide a practical survey …
artificial intelligence applications in finance. In this paper, we provide a practical survey …
Multilingual jailbreak challenges in large language models
While large language models (LLMs) exhibit remarkable capabilities across a wide range of
tasks, they pose potential safety concerns, such as the``jailbreak''problem, wherein …
tasks, they pose potential safety concerns, such as the``jailbreak''problem, wherein …
[PDF][PDF] Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Tcra-llm: Token compression retrieval augmented large language model for inference cost reduction
Since ChatGPT released its API for public use, the number of applications built on top of
commercial large language models (LLMs) increase exponentially. One popular usage of …
commercial large language models (LLMs) increase exponentially. One popular usage of …
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 …
'Designing heterogeneous LLM agents for financial sentiment analysis
Since OpenAI's ChatGPT went viral in November 2022, a year ago, large language models
(LLMs) have gone through improvements at a rapid pace, showing a variety of capabilities …
(LLMs) have gone through improvements at a rapid pace, showing a variety of capabilities …
Learning to generate explainable stock predictions using self-reflective large language models
Explaining stock predictions is generally a difficult task for traditional non-generative deep
learning models, where explanations are limited to visualizing the attention weights on …
learning models, where explanations are limited to visualizing the attention weights on …
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
K Bu, Y Liu, X Ju - Knowledge-Based Systems, 2024 - Elsevier
Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …