Mounika Marreddy

Mounika Marreddy is a Postdoctoral Researcher at Goethe-Universität Frankfurt am Main, focusing on advancing Natural Language Processing (NLP) through interdisciplinary research that bridges machine learning, cognitive science, and multilingual language modeling. Her work explores the alignment between human and AI annotations, brain activity prediction using language models, and addressing challenges in low-resource languages like Telugu.

Research Focus:

• Human-AI annotator alignment across NLP tasks (e.g., sentiment analysis, stance detection)
• Task effects on concept representation in neural models
• Development of Telugu-specific NLP datasets and pretrained models (ELMo-Te, BERT-Te)
• Neuroimaging studies linking syntactic processing to brain activity

Publications: Her research has been published in top-tier venues such as the European Conference on Information Retrieval (ECIR), ACL Findings, IEEE ICASSP, and ACM Transactions, with recent work on the USDC dataset for dogmatism analysis and robustness in transformer models. She actively collaborates with researchers like Alexander Mehler and Manish Gupta.