14 citations · 14 across the 7 of their papers we have counts for
7 papers
Exploring Sparse Autoencoders in Text-Based Causal Confounding Adjustment
Mian Zhong, Katherine A. Keith, Anjalie Field
In many settings, studying causal questions based on text data requires adjusting for confounding information within texts. Yet there is a tradeoff in constructing text representat…
The Effect of Document Selection on Query-focused Text Analysis
Sandesh S Rangreji, Mian Zhong, Anjalie Field
Analyses of document collections often require selecting what data to analyze, as not all documents are relevant to a particular research question and computational constraints pre…
What Makes a Good Response? An Empirical Analysis of Quality in Qualitative Interviews
Jonathan Ivey, Anjalie Field, Ziang Xiao
Qualitative interviews provide essential insights into human experiences when they elicit high-quality responses. While qualitative and NLP researchers have proposed various measur…
HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong, Pristina Wang, Anjalie Field
Despite numerous applications for fine-grained corpus analysis, researchers continue to rely on manual labeling, which does not scale, or statistical tools like topic modeling, whi…
From Queries to Criteria: Understanding How Astronomers Evaluate LLMs
Alina Hyk, Kiera McCormick, Mian Zhong +7
There is growing interest in leveraging LLMs to aid in astronomy and other scientific research, but benchmarks for LLM evaluation in general have not kept pace with the increasingl…
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy
Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill +27
The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge. We pr…
Designing an Evaluation Framework for Large Language Models in Astronomy Research
John F. Wu, Alina Hyk, Kiera McCormick +15
Large Language Models (LLMs) are shifting how scientific research is done. It is imperative to understand how researchers interact with these models and how scientific sub-communit…