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Matei Zaharia

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#artificial intelligence Preprint Sep 2026

Reality Is the Final Verifier: On Two Key Gaps in Agentic Software Engineering

Software development follows an implementation-verification loop in which developers or agents iteratively revise an implementation until an evaluator, such as a test suite, accepts it. The evaluator checks the implementation against a set of requirements under a model of the deployment environment. Yet even a formal p...

Alexander Krentsel, Shubham Agarwal, M. Cemri et al. · 0 citations
Preprint Jul 2026

Fantastic Adaptive Taxonomies and How to Use Them

It is argued that an agent system should maintain an explicit representation of how it fails, induced from its own behavior and reusable wherever failure feedback is needed, and AdaMAST builds this representation by converting a target system's traces into a compact, evidence-grounded failure taxonomy.

M. Cemri, Andrei Cojocaru, Melissa Z. Pan et al. · 0 citations
Preprint Aug 2026

FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution

Frontier open-weight models are increasingly available, but serving them still largely assumes datacenter infrastructure. We present FreeToken, an edge-native MoE serving system that treats a personal machine not as a small GPU, but as a unified, elastic inference platform. FreeToken co-designs the full serving stack,...

Shuo Yang, Xiao-yun Fan, Melissa Z. Pan et al. · 3 citations

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