9 papers
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
Zhaoyi Joey Hou, Bowei Alvin Zhang, Yining Lu +9
Creativity is often seen as a hallmark of human intelligence. While large language models(LLMs) are increasingly perceived as generating creative text, there is still no cross-doma…
CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories
Anneliese Brei, Abhisheik Sharma, Nicholas Sanaie +2
As LLM-generated text is increasingly used, especially in fictional domains, we explore how much LLM-generated stories differ from human-written stories. In this work, we focus on…
SHARD: Safe and Helpful Alignment via Self-Reframing Distillation
Viswonathan Manoranjan, Amogh Gupta, Anvesh Rao Vijjini +2
Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's legitimate informational ne…
Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?
Anvesh Rao Vijjini, Sagar Manjunath, Snigdha Chaturvedi
Power differences shape human communication through well documented socio cognitive effects, including language coordination, pronoun usage, authority bias, and harmful compliance.…
Socratic Students: Teaching Language Models to Learn by Asking Questions
Rajeev Bhatt Ambati, Tianyi Niu, Aashu Singh +3
Large language Models (LLMs) are usually used to answer questions, but many high-stakes applications (e.g., tutoring, clinical support) require the complementary skill of asking qu…
Classifying Unreliable Narrators with Large Language Models
Anneliese Brei, Katharine Henry, Abhisheik Sharma +2
Often when we interact with a first-person account of events, we consider whether or not the narrator, the primary speaker of the text, is reliable. In this paper, we propose using…