Blog Index
View my peer-reviewed research and writing on my homepage.
This page lists my self-published writings, including 40 posts hosted on this blog, 4 hosted on Medium, and a few hosted elsewhere.
Posts
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Monitoring student safety during generative chats
Ensuring student safety with monitoring dashboards for students' LLM chats. -
"What are the odds?" Stardew Valley edition
What's the probability of having exactly 111,111g in Stardew Valley? -
Using retrieval-augmented generation to improve math question-answering
Humans prefer large language model responses to students' conceptual math questions when created with retrieval-augmented generation and "just the right amount" of prompting guidance. -
Graphing Shakespeare and dramatizing data
Coupette et al.'s paper "All the world’s a (hyper)graph" -
Designing LLM tutors to check for student understanding
What can Doug Lemov teach us about designing LLM tutors? -
“Wishful Mnemonics” in Machine Learning Research
An always-relevant term from researcher Melanie Mitchell. -
AI2 Dolma Most Frequent Words: a derivative dataset of the most common words
A dataset of word counts in Dolma. -
Basics of machine learning with text data: bag-of-words for linear regression
Twitter data workshop presented to undergraduate HCI researchers. -
NLP for Social Computing Workshop
Workshop presented to graduate HCI researchers.
Posts on Medium
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How would you deal with an ambiguous problem?
Conceptual workflow for scoping Data Science problems. -
Model vs Modeler: Trade-offs designing interactive text classification interfaces
Accessible summary of my IUI 2022 paper. -
Integer Linear Programming with PuLP: Optimizing a DraftKings NFL lineup
Basic introduction to ILP with Python. -
Prototyping a handheld with the Omega2: A complete beginner's guide
Tutorial for making a battery-powered handheld.
Short posts
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Research paper: TnT-LLM
Short discussion of the 2024 paper "TnT-LLM: Text Mining at Scale with Large Language Models" -
In-context learning: why does it work?
Why do prompting techniques based on in-context learning improve LLM performance? -
Inference with predicted data
Inference with predicted data, including from text data. -
Research paper: Inconsistent multiple testing corrections
Mark Rubin's position paper on statistical adjustments for multiple comparions. -
Purposeful sampling in qualitative research
Notes on Patton's "Qualitative Research & Evaluation Methods" -
Requirements elicitation for machine learning applications
Requirements elicitation for ML-backed designs can be challenging, through the lens of Qian Yang et al.'s CHI paper. -
Research paper: "Red-Teaming for Generative AI: Silver Bullet or Security Theater?"
A 2024 position paper on red-teaming from Michael Feffer and others at CMU. -
What makes a good short paper at CSCW?
Human-computer interaction and social computing contributions that make for good short papers -
Book: Constructing Methodology for Qualitative Research
2015 book about qualitative research. -
Interesting person: Allie Latimer
Allie Latimer founded Federally Employed Women (FEW). -
Link Dump
Links to stuff I found interesting -
Research paper: Label Sleuth
Shnarch et al.'s EMNLP 2022 paper "Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours" -
Adding references to unreferenced Wikipedia articles
A February 2024 "edit-a-thon" shows the variety in unreferenced Wikipedia articles. -
An interesting two envelopes problem
A probability question posted on Twitter. -
Experimental design: Crowdsourced sources
Crowdsourced experimental design book recommendations. -
"95% of people cannot solve this!"
A fun Quora post about a cruel meme. -
Research paper: Why CSCW applications fail
A classic 1988 CSCW paper. -
Book: Black Software
Charlton D. McIlwain's book Black Software. -
Academic writing: avoid ambiguous antecedents
Avoid ambiguous antecedents, and a collection of academic writing tips from others. -
My debugging process
My process for debugging software. -
Connecting to GCP Cloud SQL from a local Docker container
Connecting to GCP Cloud SQL from a local Docker container using host.docker.internal -
Skrub
Skrub is a cool and useful Python library. -
Research idea: estimate the causal impact of sharing your true opinions on social media
A research/design opportunity for social media communication behaviors. -
Research paper: A Random Sample of YouTube
McGrady et al.'s 2023 paper "Dialing for Videos: A Random Sample of YouTube" -
The CommonLit Ease of Readability (CLEAR) Corpus
A dataset for advancing readability research. -
NeurIPS'23 GAIED Source Round-up
Sources mentioned during the NeurIPS'23 Workshop on Generative AI for Education. -
Converting PDFs to Markdown with Marker
A Python utility for converting PDFs to Markdown. -
Blogroll
Blogs I find to be useful & informative. -
Useful Links
Tutorials and other useful materials -
Who is Zach?
Who is Zachary Levonian as a researcher and engineer? -
Jekyll on GitHub Pages
How this blog is configured.
Other writing stuff
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Conference reading lists for CHI 2022 and CSCW 2021
Short summaries of recommended human-computer interaction papers. -
Annotated source lists for using
linear regression for ordinal variables and information
theory
Short lists of useful sources on a particular topic. -
Are Bots Ravaging Online Encyclopedias?
[code]
October 2021. Blog post written by Abby Newcomb and Sokona Mangane about our work together during the UMN REU program. (I was a research mentor.) -
A Reflection on Reflective Writing Center Work [pdf]
November 2016. Journal article published in WLN: A Journal of Writing Center Scholarship, authored by Renata Fitzpatrick, Julia Kroll, and myself while I was a Lead Writing Consultant at the Carleton College Writing Center. -
ORES Inspect: A technology probe for machine learning audits on English Wikipedia
2021-Present. I'm working on a side-project to audit the vandalism detection classifiers used on Wikipedia.
The text contents of this site are licensed CC BY 4.0. In other words, feel free to use or reuse them (with attribution to Zach or a link to the original post).
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