Text-based AI Systems
Collection
Assets related to our research in text-based AI Systems. See connorjerzak.com/text-overview for more information. • 6 items • Updated
AI & ML interests
Planetary causal inference // Text-based AI systems // Adversarial dynamics
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Papers
ExpertMuon-Compass: Alignment-Guided Step Sizes for Mixture-of-Experts Training
When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs
cjerzak
updated a
collection 25 days ago
cjerzak
authored a
paper 27 days ago
Murjani
authored 2
papers 3 months ago
Murjani
submitted a
paper to Daily Papers 3 months ago
cjerzak
submitted a
paper to Daily Papers 3 months ago
cjerzak
authored a
paper 3 months ago
Murjani
authored a
paper 5 months ago
cjerzak
authored a
paper 5 months ago
cjerzak
submitted a
paper to Daily Papers 6 months ago
cjerzak
authored a
paper 6 months ago
cjerzak
authored a
paper 7 months ago
cjerzak
submitted a
paper to Daily Papers 7 months ago
Post
829
Ethos: In our team at UT Austin, we train students to become full-stack researchers—and increasingly, designers of the systems that do research. Our students learn to carry projects end-to-end: from idea generation and theory to data creation, analysis, and iterative refinement across diverse subfields. Using modern AI (including agentic workflows) and scalable computation, students build reproducible pipelines that can ingest and update planetary-scale data—like satellite imagery and other high-dimensional sources. But the goal isn’t tool use for its own sake: students learn to set the objectives, constraints, and evaluation standards that guide these systems through large spaces of hypotheses, while grounding results in causal inference and careful measurement. The outcome is scholarship that can rigorously test policy counterfactuals and translate evidence into durable, responsible improvements in societal well-being.
We welcome students at every stage to engage with projects—from motivated high-schoolers to undergraduates, graduate students, and those from highly non-traditional backgrounds.
Join us! https://connorjerzak.com/students/
We welcome students at every stage to engage with projects—from motivated high-schoolers to undergraduates, graduate students, and those from highly non-traditional backgrounds.
Join us! https://connorjerzak.com/students/
- 2 replies
cjerzak
authored 2
papers 10 months ago
Post
2,912
>>> We're writing a new book, <Planetary Causal Inference>, on how to model counterfactuals at planetary scale by combining satellite imagery + other global data with local studies and RCTs. Forthcoming in 2026+.
>>> Book info: https://planetarycausalinference.org/book-launch
>>> All datasets used in the book will be openly available on our lab’s Hugging Face hub:
theaidevlab
>>> Book info: https://planetarycausalinference.org/book-launch
>>> All datasets used in the book will be openly available on our lab’s Hugging Face hub:
cjerzak
authored 2
papers about 1 year ago
Remote Auditing: Design-based Tests of Randomization, Selection, and Missingness with Broadly Accessible Satellite Imagery
Paper • 2510.00128 • Published
Chinese vs. World Bank Development Projects: Insights from Earth Observation and Computer Vision on Wealth Gains in Africa, 2002-2013
Paper • 2509.25648 • Published