Safeguarding Large Language Models: A Survey
In the burgeoning field of Large Language Models (LLMs), developing a robust safety
mechanism, colloquially known as" safeguards" or" guardrails", has become imperative to …
mechanism, colloquially known as" safeguards" or" guardrails", has become imperative to …
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
Machine translation (MT) models are known to suffer from gender bias, especially when
translating into languages with extensive gendered morphology. Accordingly, they still fall …
translating into languages with extensive gendered morphology. Accordingly, they still fall …
Robust Pronoun Use Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
Robust, faithful and harm-free pronoun use for individuals is an important goal for language
models as their use increases, but prior work tends to study only one or two of these …
models as their use increases, but prior work tends to study only one or two of these …
Gender and representation: investigations of bias in natural language processing
H Devinney - 2024 - diva-portal.org
Abstract Natural Language Processing (NLP) technologies are a part of our every day
realities. They come in forms we can easily see as 'language technologies'(autocorrect …
realities. They come in forms we can easily see as 'language technologies'(autocorrect …