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08/20/2023
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
The advent of large language models (LLMs) and their adoption by the leg...
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06/15/2023
SCALE: Scaling up the Complexity for Advanced Language Model Evaluation
Recent strides in Large Language Models (LLMs) have saturated many NLP b...
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06/03/2023
MultiLegalPile: A 689GB Multilingual Legal Corpus
Large, high-quality datasets are crucial for training Large Language Mod...
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04/12/2023
Potential for allocative harm in an environmental justice data tool
Neighborhood-level screening algorithms are increasingly being deployed ...
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03/05/2023
Estimating Racial Disparities When Race is Not Observed
The estimation of racial disparities in health care, financial services,...
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09/13/2022
LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning
Can foundation models be guided to execute tasks involving legal reasoni...
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08/24/2022
Entropy Regularization for Population Estimation
Entropy regularization is known to improve exploration in sequential dec...
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08/18/2022
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act
This paper introduces a new, highly consequential setting for the use of...
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07/01/2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
One concern with the rise of large language models lies with their poten...
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06/20/2022
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models
This study examines issues of algorithmic fairness in the context of sys...
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06/09/2022
Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance
Much attention has focused on algorithmic audits and impact assessments ...
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04/25/2022
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
We introduce a new setting, optimize-and-estimate structured bandits. He...
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12/21/2021
Mapping industrial poultry operations at scale with deep learning and aerial imagery
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air...
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12/13/2021
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy
We explore the promises and challenges of employing sequential decision-...
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10/25/2021
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
In many public health settings, there is a perceived tension between all...
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06/20/2021
Context-Aware Legal Citation Recommendation using Deep Learning
Lawyers and judges spend a large amount of time researching the proper l...
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05/29/2021
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms
Environmental enforcement has historically relied on physical, resource-...
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04/18/2021
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
While self-supervised learning has made rapid advances in natural langua...
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03/17/2021
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
We propose a general model, Temporal Cluster Matching (TCM), for detecti...
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12/18/2020
Affirmative Algorithms: The Legal Grounds for Fairness as Awareness
While there has been a flurry of research in algorithmic fairness, what ...
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11/14/2020