ML Foundations
Research2021–2025 · Research project
Question Answering on SQuAD
A comparative study of extractive question-answering models and standardized evaluation.
01 / Context
The problem
Model comparisons are difficult to interpret when training and evaluation pipelines differ between experiments.
02 / Implementation
What I built
Compared BERT, BiDAF, and DistilBERT with a shared training and evaluation workflow across accuracy, precision, recall, and F1.
- Current status
- Research
- Evidence path
- Not supplied yet
03 / Current outcome
What exists today
A benchmark-oriented foundation for later applied retrieval work.
Boundary
What this page does not claim
No public deployment or repository link is claimed yet.
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