2 citations · 3 across the 7 of their papers we have counts for
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cs.LG2024★ 1 cited
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…
cs.LG2023
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…
cs.LG2023★ 2 cited
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models
Javier González, Risa Ueno, Cliff Wong +12
The rapid digitization of real-world data presents an unprecedented opportunity to optimize healthcare delivery and accelerate biomedical discovery. However, these data are often f…