Data Science Intern, Kyriba

• Master's student in Computer Science, Data Science, or related field
• Strong programming skills (Python preferred)
• Knowledge of NLP and Large Language Models
• Familiarity with academic research methodologies
• Excellent analytical and documentation skills
• Fluency in English

Desirable

• The intern will contribute to developing a rigorous evaluation framework for TLES and expanding its theoretical foundations. The project involves both analytical and practical components, with potential for significant academic impact
• Design and implement a comprehensive evaluation process for TLES
• Develop diverse test cases to assess temporal reasoning capabilities
• Conduct comparative analysis with existing models (both proprietary and open-source), and conduct a state-of-the-art review on the subject
• Document theoretical frameworks around TLES's capabilities and limitations
• Contribute to academic paper preparation
• Benchmark TLES against various other techniques using open-source models (including but not limited to variously sized Llama v3 models) available through Databricks as well as other closed source ones like OpenAi’s and Anthropics’
• Analyze and document the system's coverage of temporal expressions
• Optional: Develop an agent-based approach for flexible temporal composition