A survey on evaluation of large language models

Y Chang, X Wang, J Wang, Y Wu, L Yang… - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs) are gaining increasing popularity in both academia and
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

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.org
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 …

Connecting large language models with evolutionary algorithms yields powerful prompt optimizers

Q Guo, R Wang, J Guo, B Li, K Song, X Tan… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

Multilingual jailbreak challenges in large language models

Y Deng, W Zhang, SJ Pan, L Bing - arxiv preprint arxiv:2310.06474, 2023 - arxiv.org
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 …

Llm for soc security: A paradigm shift

D Saha, S Tarek, K Yahyaei, SK Saha, J Zhou… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

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 …

Tcra-llm: Token compression retrieval augmented large language model for inference cost reduction

J Liu, L Li, T **ang, B Wang, Y Qian - arxiv preprint arxiv:2310.15556, 2023 - arxiv.org
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 …

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 …

A wide evaluation of ChatGPT on affective computing tasks

MM Amin, R Mao, E Cambria… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Large language models in finance: A survey

Y Li, S Wang, H Ding, H Chen - … ACM international conference on AI in …, 2023 - dl.acm.org
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 …