1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking
Anish Kataria
Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking. Despite theoretical progress on \emph{why} this…
cs.CL2024★ 1 cited
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
Sahas Koka, Anthony Vuong, Anish Kataria
In an era increasingly influenced by artificial intelligence, the detection of fake news is crucial, especially in contexts like election seasons where misinformation can have sign…