3 papers
stat.ML2026
FUSE: Ensembling Verifiers with Zero Labeled Data
Joonhyuk Lee, Virginia Ma, Sarah Zhao +4
Verification of model outputs is rapidly emerging as a key primitive for both training and real-world deployment of large language models (LLMs). In practice, this often involves u…
cs.SI2026
@GrokSet: multi-party Human-LLM Interactions in Social Media
Matteo Migliarini, Berat Ercevik, Oluwagbemike Olowe +5
Large Language Models (LLMs) are increasingly deployed as active participants on public social media platforms, yet their behavior in these unconstrained social environments remain…
stat.ME2025
Imputation-Powered Inference
Sarah Zhao, Emmanuel Candès
Modern multi-modal and multi-site data frequently suffer from blockwise missingness, where subsets of features are missing for groups of individuals, creating complex patterns that…