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ljyflores/README.md

Lj here 👋 Thank you for stopping by!

I collaborate with Prof. Arman Cohan at Yale University on NLP research!

I am currently excited in improving faithfulness of language models, and getting them to work in contexts where data is scarce. Check out my research and projects here!

Pinned

  1. loss-library loss-library Public

    Python package to plug-and-play loss functions from various NLP papers

    Python 1

  2. address-to-barangay address-to-barangay Public

    Maps addresses to barangays using Google Maps API and shapefiles from PhilGIS for Dengue Census Project

    Jupyter Notebook 8 3

  3. efficient-spelling-normalization-filipino efficient-spelling-normalization-filipino Public

    Experiments for Look Ma, Only 400 Samples! Revisiting the Effectiveness of Automatic N-Gram Rule Generation for Spelling Correction in Filipino, Presented in SustaiNLP Workshop, EMNLP 2022

    Python 2

  4. debiasing-clinical-summaries debiasing-clinical-summaries Public

    Using GANs, inverse propensity weighting, and heuristics to debias clinical summaries for treatment prediction

    Jupyter Notebook 2

  5. yale-nlp/fine-grained-lt yale-nlp/fine-grained-lt Public

    Consolidated experiments for simplification projects

    Jupyter Notebook 1

  6. distributionally-robust-fake-news-classification distributionally-robust-fake-news-classification Public

    Fake-News Classification Using Distributionally Robust Optimization based on Sagawa et al. (2020)

    Jupyter Notebook