some research

I am an NLP researcher working in Professor Chris Callison-Burch's lab. You can find my Google Scholar profile here.

Projects:

BIG-Bench

Benchmark for measuring and extrapolating the capabilities of language models. Collaborative dataset published in 2022 by Google, Penn, and dozens of other institutions.

Paper Source

Real or Fake Text?

A tool for the crowd-sourced evaluation of large-scale neural language models. Published EMNLP 2020.

Demo Source

ChatEval

A scientific chatbot evaluation framework for automatic and human evaluation of dialogue. Published NAACL 2019.

Demo Paper Source

Predicting Orderliness Using Wikihow

Performing temporal event reasoning by fine-tuning BERT-based neural language models.

Paper

Deep DNA (CRISPR) Lineage Tree Reconstruction

A simulation framework for the zygote development process to achieve a dataset size required by deep learning models, and various supervised and unsupervised approaches for cell mutation tree reconstruction.

Paper Source

Cloud4ISR

Leveraging cloud architectures to perform intelligence, surveillance, and reconnaissance. Published SPIE Defense 2016.

Paper

Evaluation Criteria for Human and Computer Written Text

Human-annotated taxonomy of both errors made by large-scale neural language models, and characteristics of human-written text.

Paper

GROVER: Generating Rap by Observing Verses

An LSTM-based with attention model written in PyTorch that uses the CMU pronounciation dictionary to generate rhyming lyrics with inflection and meter.

Paper