GRASP aggregates stable local LLM interaction judgments into global argument rankings via a convergent attack-defense propagation operator on interaction graphs, yielding higher reproducibility than holistic judging and no correlation with human convincingness.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Public defenders view AI as most useful for evidence investigation but limited in courtroom work and strategy, with adoption blocked by costs, confidentiality risks, and norms, requiring human oversight and open development.
citing papers explorer
-
GRASP: Deterministic argument ranking in interaction graphs
GRASP aggregates stable local LLM interaction judgments into global argument rankings via a convergent attack-defense propagation operator on interaction graphs, yielding higher reproducibility than holistic judging and no correlation with human convincingness.
-
How Can AI Augment Access to Justice? Public Defenders' Perspectives on AI Adoption
Public defenders view AI as most useful for evidence investigation but limited in courtroom work and strategy, with adoption blocked by costs, confidentiality risks, and norms, requiring human oversight and open development.