Large language models for cyber security: A systematic literature review
The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …
Domain specialization as the key to make large language models disruptive: A comprehensive survey
Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …
A survey on model compression for large language models
Abstract Large Language Models (LLMs) have transformed natural language processing
tasks successfully. Yet, their large size and high computational needs pose challenges for …
tasks successfully. Yet, their large size and high computational needs pose challenges for …
Metamath: Bootstrap your own mathematical questions for large language models
Large language models (LLMs) have pushed the limits of natural language understanding
and exhibited excellent problem-solving ability. Despite the great success, most existing …
and exhibited excellent problem-solving ability. Despite the great success, most existing …
The false promise of imitating proprietary llms
An emerging method to cheaply improve a weaker language model is to finetune it on
outputs from a stronger model, such as a proprietary system like ChatGPT (eg, Alpaca, Self …
outputs from a stronger model, such as a proprietary system like ChatGPT (eg, Alpaca, Self …
Efficient large language models: A survey
Large Language Models (LLMs) have demonstrated remarkable capabilities in important
tasks such as natural language understanding and language generation, and thus have the …
tasks such as natural language understanding and language generation, and thus have the …
Large language models as commonsense knowledge for large-scale task planning
Large-scale task planning is a major challenge. Recent work exploits large language
models (LLMs) directly as a policy and shows surprisingly interesting results. This paper …
models (LLMs) directly as a policy and shows surprisingly interesting results. This paper …
Promptbreeder: Self-referential self-improvement via prompt evolution
Popular prompt strategies like Chain-of-Thought Prompting can dramatically improve the
reasoning abilities of Large Language Models (LLMs) in various domains. However, such …
reasoning abilities of Large Language Models (LLMs) in various domains. However, such …
Data augmentation using llms: Data perspectives, learning paradigms and challenges
In the rapidly evolving field of large language models (LLMs), data augmentation (DA) has
emerged as a pivotal technique for enhancing model performance by diversifying training …
emerged as a pivotal technique for enhancing model performance by diversifying training …
Query rewriting for retrieval-augmented large language models
Large Language Models (LLMs) play powerful, black-box readers in the retrieve-then-read
pipeline, making remarkable progress in knowledge-intensive tasks. This work introduces a …
pipeline, making remarkable progress in knowledge-intensive tasks. This work introduces a …