We’re proud to share that our students successfully presented their research at the EMNLP, Positive Impact Track 2024 in Miami, Florida! EMNLP (Conference on Empirical Methods in Natural Language Processing) is one of the most prestigious conferences in NLP.
In the first group, Abhay Gupta and Philip Meng presented their work, “Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark.” Their research sparked thoughtful discussions on equitable NLP and the importance of addressing biases in language models, particularly concerning African American Vernacular English (AAVE).
Read their paper: https://www.arxiv.org/pdf/2408.14845
Learn more about their project: https://aavenue.live/
In the second group, Rajat Rawat, Hudson McBride, Rajarshi Ghosh, and Dhiyaan presented their work, “DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models.” Their findings contributed to vital conversations on fairness in AI applications, particularly in medical settings.
Read their paper: https://arxiv.org/pdf/2409.01497
The students had the opportunity to present and discuss their research with other Ph.D and industrial researchers at the conference. In addition, they had the opportunity to network and learn about other exciting projects. We're proud of their accomplishments and are excited to see how they will continue to shape their future in the field!