Gene Louis Kim

According to our database, Gene Louis Kim authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models.

Mahammed Kamruzzaman, Abdullah Al Monsur, Gene Louis Kim, Anshuman Chhabra

CoRR, June, 2025

The Impact of Disability Disclosure on Fairness and Bias in LLM-Driven Candidate Selection.

Mahammed Kamruzzaman, Gene Louis Kim

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla.

Mahammed Kamruzzaman, Abdullah Al Monsur, Shrabon Kumar Das, Enamul Hassan, Gene Louis Kim

Proceedings of the Findings of the Association for Computational Linguistics, 2025

The Impact of Name Age Perception on Job Recommendations in LLMs.

Mahammed Kamruzzaman, Gene Louis Kim

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Monotonic Inference with Unscoped Episodic Logical Forms: From Principles to System.

Gene Louis Kim, Mandar Juvekar, Junis Ekmekciu, Viet Duong, Lenhart K. Schubert

J. Log. Lang. Inf., March, 2024

"A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs.

Mahammed Kamruzzaman, Hieu Nguyen, Nazmul Hassan, Gene Louis Kim

CoRR, 2024

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs.

Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim

CoRR, 2024

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs.

Mahammed Kamruzzaman, Gene Louis Kim

CoRR, 2024

Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes.

Mahammed Kamruzzaman, Gene Louis Kim

CoRR, 2024

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs.

Mahammed Kamruzzaman, Hieu Nguyen, Gene Louis Kim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models.

Mahammed Kamruzzaman, Md. Minul Islam Shovon, Gene Louis Kim

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract).

Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

BanMANI: A Dataset to Identify Manipulated Social Media News in Bangla.

Mahammed Kamruzzaman, Md. Minul Islam Shovon, Gene Louis Kim

CoRR, 2023

Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models.

Mahammed Kamruzzaman, Gene Louis Kim

CoRR, 2023

2021

A Transition-based Parser for Unscoped Episodic Logical Forms.

Gene Louis Kim, Viet Duong, Xin Lu, Lenhart K. Schubert

CoRR, 2021

2020

Montague Grammar Induction.

Gene Louis Kim, Aaron Steven White

CoRR, 2020

2019

A Type-coherent, Expressive Representation as an Initial Step to Language Understanding.

Gene Louis Kim, Lenhart K. Schubert

Proceedings of the 13th International Conference on Computational Semantics, 2019