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cs.LG2026
From Task Mixtures to Specialized Experts
Hojat Allah Salehi, Mehrdad Mahdavi, Andrew Arash Mahyari +1
In collaborative foundation model fine-tuning, client data is rarely homogeneous. Instead, clients typically possess unknown mixtures of distinct data distributions, or tasks. Conv…
cs.AI2026
Don't Overthink, Don't Underthink: Toward Adaptive Reasoning in Agentic AI
Md Jueal Mia, M. Hadi Amini
Recent advances in Large Language Models (LLMs) have shown that increased inference-time reasoning can improve performance on complex tasks. However, many existing approaches rely…