3 papers
cs.CL2025
Forgetting as a Feature: Cognitive Alignment of Large Language Models
Alexandros Christoforos
Large Language Models (LLMs) are often evaluated against ideals of perfect Bayesian inference, yet growing evidence suggests that their in-context reasoning exhibits systematic for…
cs.AI2025
That's So FETCH: Fashioning Ensemble Techniques for LLM Classification in Civil Legal Intake and Referral
Quinten Steenhuis
Each year millions of people seek help for their legal problems by calling a legal aid program hotline, walking into a legal aid office, or using a lawyer referral service. The fir…
cs.HC2024
Getting in the Door: Streamlining Intake in Civil Legal Services with Large Language Models
Quinten Steenhuis, Hannes Westermann
Legal intake, the process of finding out if an applicant is eligible for help from a free legal aid program, takes significant time and resources. In part this is because eligibili…