Robert Mahari

Orcid: 0000-0003-2372-2746

According to our database1, Robert Mahari authored at least 21 papers between 2022 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Community-centric modeling of citation dynamics explains collective citation patterns in science, law, and patents.
CoRR, January, 2025

Authenticated Delegation and Authorized AI Agents.
CoRR, January, 2025

2024
Insights from an Experiment Crowdsourcing Data from Thousands of US Amazon Users: The importance of transparency, money, and data use.
Proc. ACM Hum. Comput. Interact., 2024

A large-scale audit of dataset licensing and attribution in AI.
Nat. Mac. Intell., 2024

Bridging the Data Provenance Gap Across Text, Speech and Video.
CoRR, 2024

Early Career Citations Capture Judicial Idiosyncrasies and Predict Judgments.
CoRR, 2024

Addressing Information Asymmetry in Legal Disputes through Data-Driven Law Firm Rankings.
CoRR, 2024

Consent in Crisis: The Rapid Decline of the AI Data Commons.
CoRR, 2024

Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
CoRR, 2024

Verifiable evaluations of machine learning models using zkSNARKs.
CoRR, 2024


Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Poster: zkTax: A Pragmatic Way to Support Zero-Knowledge Tax Disclosures.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
zkTax: A pragmatic way to support zero-knowledge tax disclosures.
CoRR, 2023

LePaRD: A Large-Scale Dataset of Judges Citing Precedents.
CoRR, 2023

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.
CoRR, 2023

Art and the science of generative AI: A deeper dive.
CoRR, 2023

The Law and NLP: Bridging Disciplinary Disconnects.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Co-creation and ownership for AI radio.
Proceedings of the 13th International Conference on Computational Creativity, 2022


  Loading...