Emily Byun
@yewonbyun.bsky.social
PhD Student in Machine Learning at CMU. yewonbyun.github.io
Pinned
Emily Byun
@yewonbyun.bsky.social
· Oct 10
💡Can we trust synthetic data for statistical inference?
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
💡Can we trust synthetic data for statistical inference?
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
October 10, 2025 at 4:12 PM
💡Can we trust synthetic data for statistical inference?
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
We show that synthetic data (e.g., LLM simulations) can significantly improve the performance of inference tasks. The key intuition lies in the interactions between the moment residuals of synthetic data and those of real data
Reposted by Emily Byun
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.
bryanwilder.github.io/files/llmrev...
bryanwilder.github.io/files/llmrev...
Equilibrium effects of LLM reviewing
Equilibrium effects of LLM reviewing
bryanwilder.github.io
May 26, 2025 at 6:20 PM
Should LLMs be used to review papers? AAAI is piloting LLM-generated reviews this year. I wrote a blog post arguing that using LLMs as reviewers can have bad downstream consequences for science by centralizing judgments about what constitutes good research.
bryanwilder.github.io/files/llmrev...
bryanwilder.github.io/files/llmrev...
Reposted by Emily Byun
I'm recruiting PhD students for Fall 2025! CS PhD Deadline: Dec. 15th.
I work on safe/reliable ML and causal inference, motivated by healthcare applications.
Beyond myself, Johns Hopkins has a rich community of folks doing similar work. Come join us!
I work on safe/reliable ML and causal inference, motivated by healthcare applications.
Beyond myself, Johns Hopkins has a rich community of folks doing similar work. Come join us!
November 27, 2024 at 3:58 PM
I'm recruiting PhD students for Fall 2025! CS PhD Deadline: Dec. 15th.
I work on safe/reliable ML and causal inference, motivated by healthcare applications.
Beyond myself, Johns Hopkins has a rich community of folks doing similar work. Come join us!
I work on safe/reliable ML and causal inference, motivated by healthcare applications.
Beyond myself, Johns Hopkins has a rich community of folks doing similar work. Come join us!