2 citations · 2 across the 3 of their papers we have counts for
3 papers
GRAFITE: Generative Regression Analysis Framework for Issue Tracking and Evaluation
Ja Young Lee, Mírian Silva, Mohamed Nasr +6
Large language models (LLMs) are largely motivated by their performance on popular topics and benchmarks at the time of their release. However, over time, contamination occurs due…
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor +35
Large language models (LLMs) are susceptible to a variety of risks, from non-faithful output to biased and toxic generations. Due to several limiting factors surrounding LLMs (trai…
Rapid Development of Compositional AI
Lee Martie, Jessie Rosenberg, Veronique Demers +12
Compositional AI systems, which combine multiple artificial intelligence components together with other application components to solve a larger problem, have no known pattern of d…