2 citations · 2 across the 9 of their papers we have counts for
3 papers · 1 filter
Retrieval Augmented Time Series Forecasting
Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz +1
Retrieval-augmented generation (RAG) is a central component of modern LLM systems, particularly in scenarios where up-to-date information is crucial for accurately responding to us…
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga +2
A growing number of machine learning scenarios rely on knowledge distillation where one uses the output of a surrogate model as labels to supervise the training of a target model.…
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
Xuechen Zhang, Zijian Huang, Ege Onur Taga +3
Recent successes in natural language processing have led to the proliferation of large language models (LLMs) by multiple providers. Each LLM offering has different inference accur…