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 …
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 …
Connecting large language models with evolutionary algorithms yields powerful prompt optimizers
Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted
prompts that often demand substantial human effort. To automate this process, in this paper …
prompts that often demand substantial human effort. To automate this process, in this paper …
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 …
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
F **ng - ACM Transactions on Management Information …, 2024 - dl.acm.org
Large language models (LLMs) have drastically changed the possible ways to design
intelligent systems, shifting the focus from massive data acquisition and new model training …
intelligent systems, shifting the focus from massive data acquisition and new model training …
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 …
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 …
A wide evaluation of ChatGPT on affective computing tasks
With the rise of foundation models, a new artificial intelligence paradigm has emerged, by
simply using general purpose foundation models with prompting to solve problems instead …
simply using general purpose foundation models with prompting to solve problems instead …
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 …