Hi 👋, I'm a graduate student specializing in Natural Language Processing (NLP), with a particular focus on
Retrieval-Augmented Language Models and information retrieval. My research aims to push the boundaries of how
machines understand and process human language, making them more efficient and effective in tasks such as
question answering, document summarization, and semantic search.
My research interests include:
-
Retrieval-Augmented Language Models: I'm exploring ways to enhance the performance of large language
models by efficiently retrieving and incorporating relevant information from external knowledge sources.
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Information Retrieval: My work involves developing algorithms and techniques to improve the accuracy
and
speed of retrieving relevant information from large datasets.
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Reinforcement Learning: Drawing parallels to human learning processes, I'm also interested in applying
reinforcement learning techniques to NLP tasks, particularly in scenarios where continuous adaptation and
learning from feedback are crucial.
Feel free to reach out if you're interested in discussing NLP, reinforcement learning, or potential
collaborations in these exciting fields!