Emily McMilin: Causal Inference & NLP Researcher

About

Photo of Emily cropped from 2023 holiday card

I am a Research Scientist, currently at Meta, working on Language Modeling, Causal Inference and Applied Reinforcement Learning.

Causal Inference + NLP Independent Research

Papers
All single author:

Under Review: Selection Induced Collider Bias: A Gender Pronoun Uncertainty Case Study
NeurIPS 2022 Workshop on Causality for Real-world Impact: Exploiting Selection Bias on Underspecified Tasks in Large Language Models
UAI 2022 Workshop on Causal Representation Learning: Selection Collider Bias in Large Language Models
ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability: Selection Bias Induced Spurious Correlations in Large Language Models

Demos
All single contributor:

Datasets

Scripts to scrape YouTube for creator corrections to auto-captioning errors, and resulting dataset

Applied Electromagnetics Research

See Google Scholar.

Links and Contact

Github
Twitter
Email: emily dot mcmilin + at + gmail dot com