Papers by Sreya Muppalla
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness (2024.emnlp-main)
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Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng
| Challenge: | Prior studies focused on English posts to provide early warnings for epidemic prediction, but these work focused on non-English posts. |
| Approach: | They propose a multilingual event extraction framework for extracting epidemic event information for any disease and language using 5.1K tweets in four languages. |
| Outcome: | The proposed framework can provide epidemic warnings for COVID-19 in its earliest stages in Dec 2019 (3 weeks before global discussions) and aggregate community epidemic discussions like symptoms and cure measures, aiding misinformation detection and public attention monitoring. |
Measuring Psychological Depth in Language Models (2024.emnlp-main)
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Fabrice Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Yildiz, Miryung Kim, Amit Sahai, Nanyun Peng
| Challenge: | Current evaluations of creative stories focus on objective properties of the text, such as its style, coherence, diversity, and creativity. |
| Approach: | They propose a framework that measures an LLM's ability to produce authentic and narratively complex stories that provoke emotion, empathy, and engagement. |
| Outcome: | The proposed framework shows that humans can consistently evaluate stories based on the PDS (0.72 Krippendorff’s alpha). |