Search Results for author: Nicholas Deas

Found 5 papers, 2 papers with code

Data Caricatures: On the Representation of African American Language in Pretraining Corpora

no code implementations13 Mar 2025 Nicholas Deas, Blake Vente, Amith Ananthram, Jessica A. Grieser, Desmond Patton, Shana Kleiner, James Shepard, Kathleen McKeown

With a combination of quantitative experiments, human judgments, and qualitative analyses, we evaluate the quantity and quality of African American Language (AAL) representation in 12 predominantly English, open-source pretraining corpora.

Rejected Dialects: Biases Against African American Language in Reward Models

1 code implementation18 Feb 2025 Joel Mire, Zubin Trivadi Aysola, Daniel Chechelnitsky, Nicholas Deas, Chrysoula Zerva, Maarten Sap

Preference alignment via reward models helps build safe, helpful, and reliable large language models (LLMs).

Fairness

Summarization of Opinionated Political Documents with Varied Perspectives

no code implementations6 Nov 2024 Nicholas Deas, Kathleen McKeown

Global partisan hostility and polarization has increased, and this polarization is heightened around presidential elections.

Articles

MASIVE: Open-Ended Affective State Identification in English and Spanish

1 code implementation16 Jul 2024 Nicholas Deas, Elsbeth Turcan, Iván Pérez Mejía, Kathleen McKeown

In the field of emotion analysis, much NLP research focuses on identifying a limited number of discrete emotion categories, often applied across languages.

Emotion Recognition Machine Translation +1

Evaluation of African American Language Bias in Natural Language Generation

no code implementations23 May 2023 Nicholas Deas, Jessi Grieser, Shana Kleiner, Desmond Patton, Elsbeth Turcan, Kathleen McKeown

We evaluate how well LLMs understand African American Language (AAL) in comparison to their performance on White Mainstream English (WME), the encouraged "standard" form of English taught in American classrooms.

Text Generation

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