Neel Guha | DeepAI

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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...

0 Neel Guha, et al. ∙

∙ 07/20/2023

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification

Recent work has shown that language models' (LMs) prompt-based learning ...

0 Neel Guha, et al. ∙

∙ 11/16/2022

Holistic Evaluation of Language Models

Language models (LMs) are becoming the foundation for almost all major l...

21 Percy Liang, et al. ∙

∙ 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...

10 Simran Arora, et al. ∙

∙ 09/13/2022

LegalBench: Prototyping a Collaborative Benchmark for Legal Reasoning

Can foundation models be guided to execute tasks involving legal reasoni...

7 Neel Guha, et al. ∙

∙ 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...

0 Peter Henderson, et al. ∙

∙ 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...

0 Lucia Zheng, et al. ∙

∙ 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...

0 Amanda Coston, et al. ∙

∙ 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...

10 Laurel Orr, et al. ∙

∙ 10/19/2019

Machine Learning for AC Optimal Power Flow

We explore machine learning methods for AC Optimal Powerflow (ACOPF) - t...

0 Neel Guha, et al. ∙

∙ 02/28/2019

One-Shot Federated Learning

We present one-shot federated learning, where a central server learns a ...

0 Neel Guha, et al. ∙

∙ 05/20/2018

Knowledge Aggregation via Epsilon Model Spaces

In many practical applications, machine learning is divided over multipl...

0 Neel Guha, et al. ∙

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