8 citations · 8 across the 7 of their papers we have counts for
6 papers · 1 filter
Identifying Multiple Personalities in Large Language Models with External Evaluation
Xiaoyang Song, Yuta Adachi, Jessie Feng +6
As Large Language Models (LLMs) are integrated with human daily applications rapidly, many societal and ethical concerns are raised regarding the behavior of LLMs. One of the ways…
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion Recognition
Anant Singh, Akshat Gupta
Recent advancements in transformer-based speech representation models have greatly transformed speech processing. However, there has been limited research conducted on evaluating t…
Unsupervised Domain Adaptation using Lexical Transformations and Label Injection for Twitter Data
Akshat Gupta, Xiaomo Liu, Sameena Shah
Domain adaptation is an important and widely studied problem in natural language processing. A large body of literature tries to solve this problem by adapting models trained on th…
Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs
Xiaoyang Song, Akshat Gupta, Kiyan Mohebbizadeh +2
Have Large Language Models (LLMs) developed a personality? The short answer is a resounding "We Don't Know!". In this paper, we show that we do not yet have the right tools to meas…
TransPOS: Transformers for Consolidating Different POS Tagset Datasets
Alex Li, Ilyas Bankole-Hameed, Ranadeep Singh +2
In hope of expanding training data, researchers often want to merge two or more datasets that are created using different labeling schemes. This paper considers two datasets that l…
AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models
Alec Candidato, Akshat Gupta, Xiaomo Liu +1
This paper presents our submission for the SMM4H 2022-Shared Task on the classification of self-reported intimate partner violence on Twitter (in English). The goal of this task wa…