Nathaniel D. Bastian

Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs

A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection

Global Convergence and Pareto Front Exploration in Deep-Neural Actor-Critic Multi-Objective Reinforcement Learning

NLMOptimizer: A neurosymbolic framework and benchmark for operations research optimization problems from natural language

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage

Cognitive map formation under uncertainty via local prediction learning

Federated Maximum Likelihood Inverse Reinforcement Learning with Convergence Guarantee

IDS-Agent: An LLM Agent for Explainable Intrusion Detection in IoT Networks