一作ICML 2026Poster· General Machine Learning / Data
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
Zheyu Zhang · Shuo Yang · Bardh Prenkaj · Gjergji Kasneci
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Zheyu Zhang · Shuo Yang · Bardh Prenkaj · Gjergji Kasneci
Shuo Yang · Zheyu Zhang · Bardh Prenkaj · Gjergji Kasneci
Generating high-fidelity synthetic tabular data remains a critical challenge for enhancing data availability in privacy-sensitive and low-resource domains. Recent approaches leverage LLMs by representing table rows as sequences, yet suffer from two fundamental limitations: (1) they model feature...
Chenchen Yuan · Zheyu Zhang · Gjergji Kasneci
Large language models often display heterogeneous moral preferences across settings. We study inference-time steering toward a desired ethical framework while preserving general competence. We present Convergent-Divergent Routing, which traces and edits minimal branch points inside transformer bl...