4 citations · 4 across the 2 of their papers we have counts for
3 papers
IRPAPERS: A Visual Document Benchmark for Scientific Retrieval and Question Answering
Connor Shorten, Augustas Skaburskas, Daniel M. Jones +5
AI systems have achieved remarkable success in processing text and relational data, yet visual document processing remains relatively underexplored. Whereas traditional systems req…
Querying Databases with Function Calling
Connor Shorten, Charles Pierse, Thomas Benjamin Smith +9
The capabilities of Large Language Models (LLMs) are rapidly accelerating largely thanks to their integration with external tools. Querying databases is among the most effective of…
StructuredRAG: JSON Response Formatting with Large Language Models
Connor Shorten, Charles Pierse, Thomas Benjamin Smith +4
The ability of Large Language Models (LLMs) to generate structured outputs, such as JSON, is crucial for their use in Compound AI Systems. However, evaluating and improving this ca…