3 papers
math.OC2026
CyclOT: Learning Quadratic Optimal Transport Maps via Synchronized Forward-Backward Interpolants
Shizhou Xu, Jiachen Liu, Shih-Hsin Wang +4
We study the recovery of forward and reverse quadratic optimal-transport maps from unpaired samples in high dimensions. We introduce a bidirectional neural framework in which the l…
cs.SE2026
The "I Don't Know" Filter: Enhancing Agentic Reliability in Function Calling
Stefan Broecker, Mason del Rosario, Boris Selitser +1
The language models that underpin agents have seen a rapid rise in performance on function calling benchmarks. However, the metrics used in the training and evaluation of these mod…
cs.AI2025
Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
Shizhou Xu, Yuan Ni, Stefan Broecker +1
As AI models are trained on ever-expanding datasets, the ability to remove the influence of specific data from trained models has become essential for privacy protection and regula…