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cs.AI2026
The Reasoning Tax: Token Economics of LLM Reasoning Across Task Types and Deployment Contexts
Sachin Gopal Wani, Ajay Dholakia, David Ellison
Accuracy-only benchmarking of reasoning-capable large language models misses a central deployment question: when do extended thinking tokens earn their cost? We introduce the Token…
cs.AI2026
KC-Agent: A Dual-Process Cognitive Architecture for Efficient ML Model Improvement
Gusseppe Bravo-Rocca, Jordi Guitart, Ajay Dholakia +2
Data drift poses significant challenges for machine learning systems in production, requiring continuous model updates to maintain performance. We present KC-Agent, a dual-process…
cs.CL2026
Benchmarking Distilled Language Models: Performance and Efficiency in Resource-Constrained Settings
Sachin Gopal Wani, Eric Page, Ajay Dholakia +1
Knowledge distillation offers a transformative pathway to developing powerful, yet efficient, small language models (SLMs) suitable for resource-constrained environments. In this p…