69 citations · 127 across the 14 of their papers we have counts for
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cs.AI2026
Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions
Zachary Izzo
In this paper, we study the connection between an LLM's output distribution and the data used to train it. Specifically, we study the degree to which an LLM's next-token distributi…
cs.AI2025★ 1 cited
To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis
Federico Bianchi, Yongchan Kwon, Zachary Izzo +2
How many mistakes do published AI papers contain? Peer-reviewed publications form the foundation upon which new research and knowledge are built. Errors that persist in the literat…