An end-to-end energy measurement framework for LLM distillation pipelines reveals hidden teacher-side costs and yields selection guidelines plus an open-source harness.
arXiv preprint arXiv:2302.08476 , year=
7 Pith papers cite this work, alongside 26 external citations. Polarity classification is still indexing.
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Towards Resource-Efficient LLMs: End-to-End Energy Accounting of Distillation Pipelines
An end-to-end energy measurement framework for LLM distillation pipelines reveals hidden teacher-side costs and yields selection guidelines plus an open-source harness.
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An Empirical Study of Sustainability in Prompt-driven Test Script Generation Using Small Language Models
Small language models display distinct energy-use and coverage profiles when generating unit tests, with some models being more efficient while others offer higher stability.
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Representational Harms in LLM-Generated Narratives Against Global Majority Nationalities
LLMs generate narratives containing persistent stereotypes, erasure, and one-dimensional portrayals of Global Majority national identities, with minoritized groups overrepresented in subordinated roles by more than fifty times compared to dominant portrayals.
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The paper introduces a dual-layer AI identification framework that integrates cryptographic, blockchain, and zero-knowledge techniques with governance checkpoints to support lifecycle accountability in digital enterprises.
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