Search Results for author:
Found 7 papers, 1 papers with code
PhonologyBench: Evaluating Phonological Skills of Large Language Models
To this end, we present PhonologyBench, a novel benchmark consisting of three diagnostic tasks designed to explicitly test the phonological skills of LLMs in English: grapheme-to-phoneme conversion, syllable counting, and rhyme word generation.
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
In this survey, we review prior studies on dimensions of bias: Gender, Skintone, and Geo-Culture.
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
A common technique for aligning large language models (LLMs) relies on acquiring human preferences by comparing multiple generations conditioned on a fixed context.
Improving Event Definition Following For Zero-Shot Event Detection
We hypothesize that a diverse set of event types and definitions are the key for models to learn to follow event definitions while existing event extraction datasets focus on annotating many high-quality examples for a few event types.
\#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media
The recent surge in online forums and movements supporting sexual assault survivors has led to the emergence of a {`}virtual bubble{'} where survivors can recount their stories.
Cultural Vocal Bursts Intensity Prediction
Transfer Learning
Evaluating the Impact of Sub-word Information and Cross-lingual Word Embeddings on Mi'kmaq Language Modelling
In this paper we consider a range of n-gram and RNN language models for Mi{'}kmaq.
Judging a Book by its Description : Analyzing Gender Stereotypes in the Man Bookers Prize Winning Fiction
The presence of gender stereotypes in many aspects of society is a well-known phenomenon.
