3 papers
cs.GT2026
Keep, Customize, or Exit: Default Design and Token Pricing in LLM Reasoning Services
Ahmet Bugra Gundogan, Yigit Turkmen, Melih Bastopcu
We study a large language model (LLM) service in which a provider chooses a per-token price and a default reasoning-token allocation, while a user may accept the default, customize…
cs.LG2026
Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
Large language models (LLMs) are often ensembled together to improve overall reliability and robustness, but in practice models are strongly correlated. This raises a fundamental q…
cs.LG2025
Balancing Information Accuracy and Response Timeliness in Networked LLMs
Yigit Turkmen, Baturalp Buyukates, Melih Bastopcu
Recent advancements in Large Language Models (LLMs) have transformed many fields including scientific discovery, content generation, biomedical text mining, and educational technol…