On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, +109

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningAi FoundationAi Safety +18

One-Shot Federated Learning

Neel Guha, Ameet Talwalkar, Virginia Smith

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningData ScienceFederated Devices +13

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

Neel Guha, Julian Nyarko, Daniel E. Ho, +37

SSRN Electronic Journal

When does pretraining help?

Lucia Zheng, Neel Guha, Brandon Anderson, +2

Llm Fine-tuningEngineeringTextual EntailmentCorpus LinguisticsLanguage Processing +19

Holistic Evaluation of Language Models

Percy Liang, Rishi Bommasani, Dimitris Tsipras, +46

arXiv (Cornell University)

Llm Fine-tuningEngineeringCross-lingual RepresentationCore Helm ScenariosMultilingual Pretraining +16

Understanding Liability Risk from Using Health Care Artificial Intelligence Tools

Michelle M. Mello, Neel Guha

New England Journal of Medicine

Artificial IntelligenceSoftware ErrorsMedical Malpractice LawAi SafetyLaw +22

Ask Me Anything: A simple strategy for prompting language models

Simran Arora, Avanika Narayan, Mayee F. Chen, +6

arXiv (Cornell University)

Artificial IntelligenceLlm Fine-tuningEngineeringMe AnythingCommunication +20

ChatGPT and Physicians’ Malpractice Risk

Michelle M. Mello, Neel Guha

JAMA Health Forum

ChatbotSpeech CorpusMedical Malpractice LawLawCommunication +20

Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

Amanda Coston, Neel Guha, Derek Ouyang, +3

arXiv (Cornell University)

Machine Learning for AC Optimal Power Flow

Neel Guha, Zhecheng Wang, Matt Wytock, +1

arXiv (Cornell University)

Model OptimizationAc Optimal PowerflowEngineeringMachine LearningSmart Grid +10