In this research project, we aim to explore the use of Large Language Models (LLMs) as an interface to interact with API tools in natural language. Bubeck et al. [1] shed some light on how LLMs could be used to interact with API tools. Since then, new versions of LLMs have been launched and the question of how reliable a LLM can be in this task remains unanswered. The main goal of our thesis is to investigate the designs of the available system prompts for LLMs, identify the best-performing prompts, and evaluate the reliability of different LLMs when using the best-identified prompts. We will employ a multiple-stage controlled experiment: A literature review where we reveal the available system prompts used in the scientific community and o...
The transformers that drive chatbots and other AI systems constitute large language models (LLMs). T...
Large language models (LLMs) have garnered significant attention, but the definition of "large" lack...
Large language models (LMs) of code have recently shown tremendous promise in completing code and sy...
Large language models (LLMs) can synthesize code from natural language descriptions or by completing...
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstr...
The following article discusses the use of Large Language Models (LLM) for writing research papers....
The teaching and learning group within the School of Computer Science and Mathematics would like to ...
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. W...
Language models demonstrate both quantitative improvement and new qualitative capabilities with incr...
Topic models help make sense of large text collections. Automatically evaluating their output and de...
This is a experimental and qualitative study about Human-AI interaction which investigated Large Lan...
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate,...
Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language proces...
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engine...
Large Language Models (LLMs) have achieved significant success across various natural language proce...
The transformers that drive chatbots and other AI systems constitute large language models (LLMs). T...
Large language models (LLMs) have garnered significant attention, but the definition of "large" lack...
Large language models (LMs) of code have recently shown tremendous promise in completing code and sy...
Large language models (LLMs) can synthesize code from natural language descriptions or by completing...
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstr...
The following article discusses the use of Large Language Models (LLM) for writing research papers....
The teaching and learning group within the School of Computer Science and Mathematics would like to ...
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition. W...
Language models demonstrate both quantitative improvement and new qualitative capabilities with incr...
Topic models help make sense of large text collections. Automatically evaluating their output and de...
This is a experimental and qualitative study about Human-AI interaction which investigated Large Lan...
Large language models (LLMs)—machine learning algorithms that can recognize, summarize, translate,...
Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language proces...
Large Language Models (LLMs) have significantly impacted numerous domains, including Software Engine...
Large Language Models (LLMs) have achieved significant success across various natural language proce...
The transformers that drive chatbots and other AI systems constitute large language models (LLMs). T...
Large language models (LLMs) have garnered significant attention, but the definition of "large" lack...
Large language models (LMs) of code have recently shown tremendous promise in completing code and sy...