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Fatima Zahra El Idrissi, Tomás Ibarra
Datasheets improve transparency but are time-consuming to write. We show that a template-driven workflow with automatic statistics halves the time to a complete datasheet and increases the completeness of answers on a fifteen-item rubric.
We attempt to build and run 400 research repositories released between 2019 and 2021. Only 38% still run without modification; the most common causes are unpinned dependencies and removed external data. Archived releases with lock files survive at more than twice the rate.
We measure energy per generated token for eleven small language models on three mobile systems-on-chip. Memory traffic, not arithmetic, explains most of the variation, and the best configuration per device differs by up to 2.4×.
Priya Venkataraman, Anders Holm
Personalising a model on a user's device requires small, fast-to-train updates. We study rank, placement and quantisation of low-rank adapters on a phone-class model and find that rank 4 on attention projections gives most of the gain at under 2 MB per user.
Some tool failures return plausible but wrong output and raise no error. We detect such silent failures by comparing the distribution of tool outputs against a rolling reference and flagging shifts. On three deployed tools the detector finds 71% of injected faults with a 2% false-alarm rate.
Sofia Lindqvist, Julia Fernandes
Auditing an agent requires knowing what it saw, decided and did. We propose a small, open logging schema with eleven required fields, and show that it is sufficient to reconstruct the action sequence for 96% of runs in a sample of public agent traces. The schema is published under CC0.
