· Xiaojing Yang · Research Engineering
How I Structure NLP Experiments
A research-engineering note on repositories, configs, data splits, logs, evaluation tables, and reproducible experiment workflows.
A research-engineering note on repositories, configs, data splits, logs, evaluation tables, and reproducible experiment workflows.
A research note framing multilingual AI beyond translation: data, tokenization, evaluation, domains, language variation, and deployment constraints.
A responsible-AI note on controlled evaluation design, prompts, labels, metrics, human validation, and model-auditing evidence.
A retrieval-systems note on sparse, dense, hybrid, reranking, graph expansion, long documents, and evidence grounding.
An applied ML note on turning messy data into pipelines, models, evaluation reports, and usable demos.