2 citations · 2 across the 3 of their papers we have counts for
5 papers
How Language Models Choose Sides: Internal Representations of Instruction Hierarchy
Enrique Balp-Straffon, Chih-Hao Hsu, Rushiraj Gadhvi +3
We study how instruction-tuned LLMs arbitrate direct conflicts between system and user instructions. We introduce a benchmark of 41 paired constraints with deterministic verifiers…
Safe RAN control: A Symbolic Reinforcement Learning Approach
Alexandros Nikou, Anusha Mujumdar, Vaishnavi Sundararajan +2
In this paper, we present a Symbolic Reinforcement Learning (SRL) based architecture for safety control of Radio Access Network (RAN) applications. In particular, we provide a pure…
Symbolic Reinforcement Learning for Safe RAN Control
Alexandros Nikou, Anusha Mujumdar, Marin Orlic +1
In this paper, we demonstrate a Symbolic Reinforcement Learning (SRL) architecture for safe control in Radio Access Network (RAN) applications. In our automated tool, a user can se…
Machine Reasoning Explainability
Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik +5
As a field of AI, Machine Reasoning (MR) uses largely symbolic means to formalize and emulate abstract reasoning. Studies in early MR have notably started inquiries into Explainabl…
Antifragility for Intelligent Autonomous Systems
Anusha Mujumdar, Swarup Kumar Mohalik, Ramamurthy Badrinath
Antifragile systems grow measurably better in the presence of hazards. This is in contrast to fragile systems which break down in the presence of hazards, robust systems that toler…