Prompts generated from ChatGPT3.5, ChatGPT4, LLama3-8B, and Mistral-7B with NYT and HC3 topics in different roles and parameters configurations

Presence penalty (parameter): Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model s likelihood to talk about new topics. Roles (context) Default: No role is assigned to the LLM, the default role is used.

Child: The LLM is requested to answer as a five-year-old child. Young adult male: The LLM is requested to answer as a young male adult. Young adult female: The LLM is requested to answer as a young female adult.

Elderly adult male: The LLM is requested to answer as an elderly male adult. Elderly adult female: The LLM is requested to answer as an elderly female adult. Affluent adult male: The LLM is requested to answer as an affluent male adult.

Affluent adult female: The LLM is requested to answer as an affluent female adult. Lower-class adult male: The LLM is requested to answer as a lower-class male adult. Lower-class adult female: The LLM is requested to answer as a lower-class female adult.

Erudite: The LLM is requested to answer as an erudite who uses a rich vocabulary. Paper Paper: Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study Cite: @article{10.1145/3696459,author = {Mart\ {\i}nez, Gonzalo and Hern\ {a}ndez, Jos\ {e} Alberto and Conde, Javier and Reviriego, Pedro and Merino-G\ {o}mez, Elena},title = {Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study},year = {2024},publisher = {Association for Computing Machinery},address = {New York, NY, USA},issn = {2157-6904},url = {doi.org/10.1145/3696459},doi = {10.1145/3696459},abstract = ,note = {Just Accepted},journal = {ACM Trans.

Intell. Syst. Technol.},month = sep,keywords = {LLM, Lexical diversity, ChatGPT, Evaluation}}