Methods

Publication

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models

Arxiv

August 2024

Publication

Statistical Uncertainty in Word Embeddings: GloVe-V

Empirical Methods in Natural Language Processing

June 2024

Publication

Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools

ArXiv

May 2024

Publication

Corpus Enigmas and Contradictory Linguistics: Tensions Between Empirical Semantic Meaning and Judicial Interpretation

Minnesota Journal of Law, Science & Technology

May 2024

Publication

MultiLegalPile: A 689GB Multilingual Legal Corpus

ACL 2024

May 2024

Publication

Not (Officially) in My Backyard: Characterizing Informal Accessory Dwelling Units and Informing Housing Policy With Remote Sensing

Journal of the American Planning Association

June 2024

Publication

Quantifying the Uncertainty of Imputed Demographic Disparity Estimates: The Dual-Bootstrap

March 2024

Publication

On the Societal Impact of Open Foundation Models

February 2024

Publication

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Journal of Legal Analysis

January 2024

Publication

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

NeurIPS D&B

August 2023

Publication

Toward Operationalizing a Pipeline-aware Approach to ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools

ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization

September 2023

Publication

Estimating Racial Disparities When Race is Not Observed

Working Paper

March 2023

Publication

Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset

arXiv

July 2022

Publication

Mapping industrial poultry operations at scale with deep learning and aerial imagery

arXiv

December 2021

Publication

On the Opportunities and Risks of Foundation Models

arXiv

August 2021

Publication

Context-Aware Legal Citation Recommendation Using Deep Learning

ICAIL 2021

April 2021

Publication

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset

ICAIL 2021

April 2021

Publication

Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery

ACM COMPASS

March 2021

Publication

Is Yelp Actually Cleaning Up the Restaurant Industry? A Re-Analysis on the Relative Usefulness of Consumer Reviews

WWW Proceedings

May 2019

Publication

Making Street-Level Bureaucracy Work: Safer Food in Seattle and King County

Evidence Works: Cases Where Evidence Meaningfully Informed Policy

January 2019

Publication

Feasible Policy Evaluation by Design: A Randomized Synthetic Stepped-Wedge Trial in King County

June 2020

Publication

Judging Statistical Criticism

Observational Studies

January 2018

Project

Advances in Research Methods

Research methods to expand the evidence base for government