1 citations · 1 across the 15 of their papers we have counts for
3 papers · 1 filter
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI
Ramneet Kaur, Colin Samplawski, Adam D. Cobb +8
In this paper, we present a dynamic semantic clustering approach inspired by the Chinese Restaurant Process, aimed at addressing uncertainty in the inference of Large Language Mode…
Resource-Constrained Heuristic for Max-SAT
Brian Matejek, Daniel Elenius, Cale Gentry +2
We propose a resource-constrained heuristic for instances of Max-SAT that iteratively decomposes a larger problem into smaller subcomponents that can be solved by optimized solvers…
Second-Order Forward-Mode Automatic Differentiation for Optimization
Adam D. Cobb, Atılım Güneş Baydin, Barak A. Pearlmutter +1
This paper introduces a second-order hyperplane search, a novel optimization step that generalizes a second-order line search from a line to a -dimensional hyperplane. This, com…