2 citations · 5 across the 4 of their papers we have counts for
4 papers
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
Javier González, Aditya V. Nori
Recent advances in AI have been significantly driven by the capabilities of large language models (LLMs) to solve complex problems in ways that resemble human thinking. However, th…
Beyond Words: A Mathematical Framework for Interpreting Large Language Models
Javier González, Aditya V. Nori
Large language models (LLMs) are powerful AI tools that can generate and comprehend natural language text and other complex information. However, the field lacks a mathematical fra…
Exploring the Boundaries of GPT-4 in Radiology
Qianchu Liu, Stephanie Hyland, Shruthi Bannur +16
The recent success of general-domain large language models (LLMs) has significantly changed the natural language processing paradigm towards a unified foundation model across domai…
Fairness as a Program Property
Aws Albarghouthi, Loris D'Antoni, Samuel Drews +1
We explore the following question: Is a decision-making program fair, for some useful definition of fairness? First, we describe how several algorithmic fairness questions can be p…