2 citations · 5 across the 6 of their papers we have counts for
7 papers
Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
Mahammed Kamruzzaman, Gene Louis Kim
Persona assignment has become a common strategy for customizing LLM use to particular tasks and contexts. In this study, we explore how evaluation of different nations change when…
Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes
Mahammed Kamruzzaman, Gene Louis Kim
Dual process theory posits that human cognition arises via two systems. System 1, which is a quick, emotional, and intuitive process, which is subject to cognitive biases, and Syst…
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
Mahammed Kamruzzaman, Md. Minul Islam Shovon, Gene Louis Kim
LLMs are increasingly powerful and widely used to assist users in a variety of tasks. This use risks the introduction of LLM biases to consequential decisions such as job hiring, h…
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
Mahammed Kamruzzaman, Gene Louis Kim
While reaching for NLP systems that maximize accuracy, other important metrics of system performance are often overlooked. Prior models are easily forgotten despite their possible…
A Transition-based Parser for Unscoped Episodic Logical Forms
Gene Louis Kim, Viet Duong, Xin Lu +1
"Episodic Logic:Unscoped Logical Form" (EL-ULF) is a semantic representation capturing predicate-argument structure as well as more challenging aspects of language within the Episo…
Montague Grammar Induction
Gene Louis Kim, Aaron Steven White
We propose a computational modeling framework for inducing combinatory categorial grammars from arbitrary behavioral data. This framework provides the analyst fine-grained control…
A Type-coherent, Expressive Representation as an Initial Step to Language Understanding
Gene Louis Kim, Lenhart Schubert
A growing interest in tasks involving language understanding by the NLP community has led to the need for effective semantic parsing and inference. Modern NLP systems use semantic…