LLMs

Publication

Not Your Typical Government Tipline: LLM-Assisted Routing of Environmental Protection Agency Citizen Tips

Association for Computational Linguistics, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

November 2025

Publication

Language models cannot reliably distinguish belief from knowledge and fact

Nature Machine Intelligence

November 2025

Publication

The Inadequacy of Offline LLM Evaluations: A Need to Account for Personalization in Model Behavior

ArXiV

September 2025

Publication

AI for Statutory Simplification: A Comprehensive State Legal Corpus and Labor Benchmark

ICAIL

June 2025

Publication

What Is the Law? A System for Statutory Research (STARA) with Large Language Models

ICAIL

June 2025

Publication

BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems

ArXiV

May 2025

Publication

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs

ArXiV

August 2025

Publication

Extracting memorized pieces of (copyrighted) books from open-weight language models

ArXiV

July 2025

Publication

An automated framework for assessing how well LLMs cite relevant medical references

Nature Communications

April 2025

Post

Let’s Tidy Up State Government

RegLab Policy Fellow Jennifer Pahlka highlights STARA in making the case for leveraging AI to improve governance.

Post

Cleaning Up Policy Sludge: An AI Statutory Research System

A policy brief introducing STARA, a novel AI tool that performs statutory surveys to help governments—such as the San Francisco City Attorney Office—identify policy sludge and accelerate legal reform.

Post

San Francisco wants to use AI to save itself from bureaucracy

City Attorney David Chiu is working with RegLab to identify and delete old, redundant municipal code sections.