2 papers
cs.AI2025
The Optimization Paradox in Clinical AI Multi-Agent Systems
Suhana Bedi, Iddah Mlauzi, Daniel Shin +2
Multi-agent artificial intelligence systems are increasingly deployed in clinical settings, yet the relationship between component-level optimization and system-wide performance re…
cs.LG2025
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
Elyas Obbad, Iddah Mlauzi, Brando Miranda +4
Data selection is crucial for optimizing language model (LM) performance on specific tasks, yet most existing methods fail to effectively consider the target task distribution. Cur…