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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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07/20/2023
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
Recent work has shown that language models' (LMs) prompt-based learning ...
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11/16/2022
Holistic Evaluation of Language Models
Language models (LMs) are becoming the foundation for almost all major l...
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10/05/2022
Ask Me Anything: A simple strategy for prompting language models
Large language models (LLMs) transfer well to new tasks out-of-the-box s...
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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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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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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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11/14/2020
Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
Anonymized smartphone-based mobility data has been widely adopted in dev...
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10/20/2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
A challenge for named entity disambiguation (NED), the task of mapping t...
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10/19/2019
Machine Learning for AC Optimal Power Flow
We explore machine learning methods for AC Optimal Powerflow (ACOPF) - t...
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02/28/2019
One-Shot Federated Learning
We present one-shot federated learning, where a central server learns a ...
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05/20/2018
