2 papers
cs.AI2026
The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI
Muayad Sayed Ali, Aliaksandra Novik, Anji Boddupally +29
Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger replayed contexts -- so tokens…
cs.CL2023
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning
Waseem AlShikh, Manhal Daaboul, Kirk Goddard +4
In this paper, we introduce the Instruction Following Score (IFS), a metric that detects language models' ability to follow instructions. The metric has a dual purpose. First, IFS…