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cs.CL2025
Neural Bandit Based Optimal LLM Selection for a Pipeline of Subtasks
Baran Atalar, Eddie Zhang, Carlee Joe-Wong
As large language models (LLMs) become increasingly popular, there is a growing need to predict which out of a set of LLMs will yield a successful answer to a given query at low co…
cs.LG2025
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation
Xutong Liu, Baran Atalar, Xiangxiang Dai +5
Large Language Models (LLMs) are revolutionizing how users interact with information systems, yet their high inference cost poses serious scalability and sustainability challenges.…