
Chris Wang developed and maintained the phantom-wiki repository, delivering a scalable content generation and question-answering system driven by context-free grammar and large language models. He integrated Python and Prolog to automate biographical article creation, enhance family relationship modeling, and streamline QA pipelines. His work unified evaluation workflows, improved data loading flexibility from local and HuggingFace sources, and consolidated variant scripts for model interoperability. By leveraging technologies such as Python scripting, SQL, and Jupyter Notebooks, Chris improved code maintainability, testability, and data accessibility. The depth of his engineering enabled robust, reproducible workflows and accelerated publishing, supporting both editorial and research use cases.

March 2025 (2025-03) focused on delivering a more robust, data-source agnostic evaluation workflow and a streamlined CLI for kilian-group/phantom-wiki. Key work included enabling flexible evaluation data loading from local folders or HuggingFace with a new from_local flag, aligning split handling, and updating evaluation commands; deprecating the --data_dir flag in favor of a unified --dataset option to simplify local data loading; and delivering an updated PhantomWiki demo notebook along with notebooks/evaluation scripts that support loading datasets from either local files or HF and reflect the new loading options. Minor quality improvements included formatting fixes in notebooks. These changes improve data accessibility, reproducibility, and demonstration readiness, enabling faster validation and closer alignment with real-world data workflows.
March 2025 (2025-03) focused on delivering a more robust, data-source agnostic evaluation workflow and a streamlined CLI for kilian-group/phantom-wiki. Key work included enabling flexible evaluation data loading from local folders or HuggingFace with a new from_local flag, aligning split handling, and updating evaluation commands; deprecating the --data_dir flag in favor of a unified --dataset option to simplify local data loading; and delivering an updated PhantomWiki demo notebook along with notebooks/evaluation scripts that support loading datasets from either local files or HF and reflect the new loading options. Minor quality improvements included formatting fixes in notebooks. These changes improve data accessibility, reproducibility, and demonstration readiness, enabling faster validation and closer alignment with real-world data workflows.
February 2025 performance summary for kilian-group/phantom-wiki: Delivered a stabilization pass with unified cot_rag support across small/medium/large models, enabling a single, maintainable integration path and reducing configuration drift. Merged and consolidated variant scripts across S/M/L (cot_S/M/L.sh, fewshot_S/M/L.sh, cot-sc_S/M/L.sh) and streamlined cot_rag_cpu with large.sh to simplify the variant pipeline and speed delivery. Integrated comprehensive zeroshot workflows (zeroshot, zeroshot_rag, zeroshot_rag_cpu, zeroshot-sc) and related variants (react_L, rag) to improve end-to-end coverage and reduce integration gaps. Improved repo hygiene through removal of duplicate and legacy files and targeted typo fixes. Advanced testing readiness and local development support, including test scaffolding with ready-to-test markers, load_data() from local folders, demo notebook scaffolding, and documentation enhancements. These changes increase developer velocity, reliability, and business value by accelerating feature delivery and reducing maintenance burden.
February 2025 performance summary for kilian-group/phantom-wiki: Delivered a stabilization pass with unified cot_rag support across small/medium/large models, enabling a single, maintainable integration path and reducing configuration drift. Merged and consolidated variant scripts across S/M/L (cot_S/M/L.sh, fewshot_S/M/L.sh, cot-sc_S/M/L.sh) and streamlined cot_rag_cpu with large.sh to simplify the variant pipeline and speed delivery. Integrated comprehensive zeroshot workflows (zeroshot, zeroshot_rag, zeroshot_rag_cpu, zeroshot-sc) and related variants (react_L, rag) to improve end-to-end coverage and reduce integration gaps. Improved repo hygiene through removal of duplicate and legacy files and targeted typo fixes. Advanced testing readiness and local development support, including test scaffolding with ready-to-test markers, load_data() from local folders, demo notebook scaffolding, and documentation enhancements. These changes increase developer velocity, reliability, and business value by accelerating feature delivery and reducing maintenance burden.
During January 2025, the phantom-wiki project delivered substantial business-value improvements in family-relations modeling and content generation, while strengthening reliability and testability across the codebase. The work focused on feature delivery that enhances user-facing capabilities and under-the-hood utilities that enable robust evaluation of content and relationships, setting a foundation for scalable growth and higher-quality outputs.
During January 2025, the phantom-wiki project delivered substantial business-value improvements in family-relations modeling and content generation, while strengthening reliability and testability across the codebase. The work focused on feature delivery that enhances user-facing capabilities and under-the-hood utilities that enable robust evaluation of content and relationships, setting a foundation for scalable growth and higher-quality outputs.
December 2024 delivered cross-model LLM enhancements, structured dataset integration, and content generation improvements, delivering business value through expanded model interoperability, cleaner data pipelines, higher-quality outputs, and improved observability.
December 2024 delivered cross-model LLM enhancements, structured dataset integration, and content generation improvements, delivering business value through expanded model interoperability, cleaner data pipelines, higher-quality outputs, and improved observability.
November 2024: Delivered substantive enhancements to phantom-wiki, focusing on reliable prompt-based QA, deeper reasoning via Prolog integration, and robust data pipelines. Key wins include migrating to llama-405b with tuned prompts, expanding question templates and depth-5 Prolog alignment, stabilizing CFG/base rules, adding plural form support and mapping improvements, and building template matching with end-to-end depth-5 tests. Also improved data utilities (HF datasets), cleaned legacy artifacts, and enhanced documentation. Major bug fixes improved reliability and correctness (spouse logic, distinct counting in queries, and single-quote handling in job processing). Business impact: higher quality responses, more accurate data extraction, faster onboarding, and a more maintainable, testable codebase.
November 2024: Delivered substantive enhancements to phantom-wiki, focusing on reliable prompt-based QA, deeper reasoning via Prolog integration, and robust data pipelines. Key wins include migrating to llama-405b with tuned prompts, expanding question templates and depth-5 Prolog alignment, stabilizing CFG/base rules, adding plural form support and mapping improvements, and building template matching with end-to-end depth-5 tests. Also improved data utilities (HF datasets), cleaned legacy artifacts, and enhanced documentation. Major bug fixes improved reliability and correctness (spouse logic, distinct counting in queries, and single-quote handling in job processing). Business impact: higher quality responses, more accurate data extraction, faster onboarding, and a more maintainable, testable codebase.
Concise monthly summary for 2024-10 (kilian-group/phantom-wiki). Focused on delivering a CFG-based content generation and QA system to scale the creation of biographical articles and their associated QA pairs from grammar rules. The work strengthens content generation efficiency, consistency, and verification by integrating a CFG2QA pipeline with prompts, scripts, and formatting refinements. The deliverables support faster article publishing and robust QA coverage, aligning with editorial workflow and quality standards.
Concise monthly summary for 2024-10 (kilian-group/phantom-wiki). Focused on delivering a CFG-based content generation and QA system to scale the creation of biographical articles and their associated QA pairs from grammar rules. The work strengthens content generation efficiency, consistency, and verification by integrating a CFG2QA pipeline with prompts, scripts, and formatting refinements. The deliverables support faster article publishing and robust QA coverage, aligning with editorial workflow and quality standards.
Overview of all repositories you've contributed to across your timeline