Two Algoverse research teams have been accepted to EMNLP's Positive Impact Track 2024 in Miami, Florida. EMNLP is one of the top-tier international NLP conferences, a standard venue submitted to by universities and tech companies alike.
1. Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark Authors: Abhay Gupta, Philip Meng, Ece Yurtseven Focus: Develops methodology to evaluate language model biases concerning African American Vernacular English Paper: https://www.arxiv.org/pdf/2408.14845
2. DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models Authors: Rajat Rawat, Hudson McBride, Rajarshi Ghosh, Dhiyaan, Dhruv Alamuri, Jong Moon Focus: Examines demographic bias intersections in medical diagnosis applications using LLMs Paper: https://arxiv.org/pdf/2409.01497
For our students to have their work accepted to Ph.D-level conferences is an extraordinary achievement!
