4 papers
Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision]
Kyoungmin Kim, Anastasia Ailamaki
LLM agents that conduct research (proposing ideas, writing and running code, analyzing results) can already carry a study from research question to figures, yet cannot be fully tru…
Fast LLM-Based Semantic Filtering: From a Unified Framework to an Adaptive Two-Phase Method
Kyoungmin Kim, Martin Catheland, Anastasia Ailamaki
Evaluating a natural-language yes/no predicate over a document corpus under an accuracy target - the semantic filter - is a cornerstone of LLM-based data processing. Calling the LL…
QVCache: A Query-Aware Vector Cache
Anıl Eren Göçer, Ioanna Tsakalidou, Hamish Nicholson +2
Vector databases have become a cornerstone of modern information retrieval, powering applications in recommendation, search, and retrieval-augmented generation (RAG) pipelines. How…
Trustworthy and Efficient LLMs Meet Databases
Kyoungmin Kim, Anastasia Ailamaki
In the rapidly evolving AI era with large language models (LLMs) at the core, making LLMs more trustworthy and efficient, especially in output generation (inference), has gained si…