1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
Seiji Maekawa, Hayate Iso, Sairam Gurajada +1
While large language models (LMs) demonstrate remarkable performance, they encounter challenges in providing accurate responses when queried for information beyond their pre-traine…
cs.DB2016★ 1 cited
Distributed Processing of Generalized Graph-Pattern Queries in SPARQL 1.1
Sairam Gurajada, Martin Theobald
We propose an efficient and scalable architecture for processing generalized graph-pattern queries as they are specified by the current W3C recommendation of the SPARQL 1.1 "Query…