Collaborating on building an open knowledge network, utilizing LLMs to build knowledge graph embeddings and optimizing query engines for pathfinding queries across knowledge graphs.
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Conducted a comprehensive study on accelerating Vision-Language models and identifying Trustworthy AI bottlenecks, using multi-modal learning and spatial analysis on diverse datasets to analyze transit-induced gentrification and support equitable urban development.
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Conducted research on sarcasm detection using Transformer neural networks, recreating SOTA results and experimented using the effect of synthetically generated data on the prediction quality.

Developed a system using clustering and LLMs to provide different ideological perspectives on news topics.

Designed and implemented a system combining clustering techniques and Large Language Models (LLMs) to provide extractive summaries of news articles from different ideological perspectives. Utilized web scraping with BeautifulSoup to collect data from various online news sources.
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