8 citations · 18 across the 14 of their papers we have counts for
16 papers
Do Persona-Infused LLMs Affect Performance in a Strategic Reasoning Game?
John Licato, Stephen Steinle, Brayden Hollis
Although persona prompting in large language models appears to trigger different styles of generated text, it is unclear whether these translate into measurable behavioral differen…
The Effect of Belief Boxes and Open-mindedness on Persuasion
Onur Bilgin, Abdullah As Sami, Sriram Sai Vujjini +1
As multi-agent systems are increasingly utilized for reasoning and decision-making applications, there is a greater need for LLM-based agents to have something resembling propositi…
Giving AI Personalities Leads to More Human-Like Reasoning
Animesh Nighojkar, Bekhzodbek Moydinboyev, My Duong +1
In computational cognitive modeling, capturing the full spectrum of human judgment and decision-making processes, beyond just optimal behaviors, is a significant challenge. This st…
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference
Animesh Nighojkar, Antonio Laverghetta, John Licato
Natural Language Inference (NLI) has been a cornerstone task in evaluating language models' inferential reasoning capabilities. However, the standard three-way classification schem…
Resolving Open-textured Rules with Templated Interpretive Arguments
John Licato, Logan Fields, Zaid Marji
Open-textured terms in written rules are typically settled through interpretive argumentation. Ongoing work has attempted to catalogue the schemes used in such interpretive argumen…
Cognitive Modeling of Semantic Fluency Using Transformers
Animesh Nighojkar, Anna Khlyzova, John Licato
Can deep language models be explanatory models of human cognition? If so, what are their limits? In order to explore this question, we propose an approach called hyperparameter hyp…