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

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

Experience with LLM evaluation frameworks

Research appetite

Familiarity with Databricks