
Mihir Mishra enhanced the kilian-group/phantom-wiki repository by integrating Prolog-enabled reasoning and improving data handling workflows. He centralized Prolog query execution, refactored database initialization, and consolidated dataset loading using Python, focusing on modularity and maintainability. Mihir implemented a Prolog parser for OpenAI models, enabling chain-of-thought reasoning across agents and supporting both zero-shot and few-shot scenarios. He improved code readability and organization through targeted refactoring, added comprehensive documentation, and addressed bugs affecting agent configuration. His work deepened the repository’s AI integration, strengthened backend reliability, and established a scalable foundation for further experimentation in natural language processing and agent development.

February 2025: Delivered a cohesive set of Prolog-enabled reasoning enhancements and data-handling improvements for kilian-group/phantom-wiki. The work strengthens model-based reasoning, improves reliability, and enables maintainable, scalable experimentation through code refactors and clearer I/O workflows.
February 2025: Delivered a cohesive set of Prolog-enabled reasoning enhancements and data-handling improvements for kilian-group/phantom-wiki. The work strengthens model-based reasoning, improves reliability, and enables maintainable, scalable experimentation through code refactors and clearer I/O workflows.
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