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2 weeks ago
The Knowledge, Language, and Reasoning Lab is seeking a Research Assistant to collaborate on projects focused on knowledge representation, language understanding, and reasoning with Large Language Models (LLMs). Our research explores creating structured knowledge corpora, language understanding, and reasoning techniques to enhance the learning and performance of LLMs. We are particularly interested in methods that enable smaller language models to perform complex reasoning across various downstream tasks.
Essential Qualifications:- A strong foundation in Mathematics, Statistics, or Computer Science is required.
- High proficiency in programming, particularly in Python, is mandatory.
- Ability to write clean, modular, and scalable code is essential.
- Prior experience in Natural Language Processing (NLP), Deep Learning, or work involving LLMs is highly desirable but not mandatory.
- Familiarity with DL frameworks such as PyTorch or TensorFlow is highly desirable but not mandatory.
- A strong learning mindset is crucial.
- A keen interest in staying up-to-date with recent research developments in NLP, ML, and AI is essential.
- Initiative in exploring original ideas and asking meaningful questions is valuable.
This is an exceptional opportunity for individuals who share our passion for advancing LLMs and improving their ability to reason and understand human language.
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