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Existing benchmarks fail to reveal the true performance capabilities of LLMs, with only 6.11% showing significant speed advantages over traditional implementations.
UQ metrics in software defect prediction can mislead if applied without context, revealing that strong classifiers may still suffer from significant calibration errors.
Fragmented runtime states in agent systems can be unified into a single, auditable Session, transforming how we manage multi-agent interactions.