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20212026
most citedArt and the science of generative AI: A deeper dive

732 citations · 790 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 6 cited

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Shayne Longpre, Robert Mahari, Anthony Chen +14

The race to train language models on vast, diverse, and inconsistently documented datasets has raised pressing concerns about the legal and ethical risks for practitioners. To reme…

cs.CR2023

zkTax: A pragmatic way to support zero-knowledge tax disclosures

Alex Berke, Tobin South, Robert Mahari +2

Tax returns contain key financial information of interest to third parties: public officials are asked to share financial data for transparency, companies seek to assess the financ…

cs.CL2023★ 1 cited

LePaRD: A Large-Scale Dataset of Judges Citing Precedents

Robert Mahari, Dominik Stammbach, Elliott Ash +1

We present the Legal Passage Retrieval Dataset LePaRD. LePaRD is a massive collection of U.S. federal judicial citations to precedent in context. The dataset aims to facilitate wor…

cs.CL2023

The Law and NLP: Bridging Disciplinary Disconnects

Robert Mahari, Dominik Stammbach, Elliott Ash +1

Legal practice is intrinsically rooted in the fabric of language, yet legal practitioners and scholars have been slow to adopt tools from natural language processing (NLP). At the…

cs.AI2023★ 732 cited

Art and the science of generative AI: A deeper dive

Ziv Epstein, Aaron Hertzmann, Laura Herman +11

A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation. The…