In the critical regime for energy provisioning to large reasoning models, performance is volatility-limited, motivating variance-aware routing policies based on training and inference compute scaling laws.
Carbon- and Precedence-Aware Scheduling for Data Processing Clusters
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Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.
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Energy-Aware Routing to Large Reasoning Models
In the critical regime for energy provisioning to large reasoning models, performance is volatility-limited, motivating variance-aware routing policies based on training and inference compute scaling laws.
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LLM Harms: A Taxonomy and Discussion
Proposes a five-bucket taxonomy of LLM harms and calls for dynamic auditing, but the systematic review behind it is not reproducible and contains mismatched citations.