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researcher

A. Pentland

18 papers hereh-index 9278 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author9

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CY5
  • cs.AI4
  • cs.CL4
  • cs.CR3
  • cs.IR1
  • cs.LG1
same name
  • A. Pentland — 102 papers, h 78
  • A. Pentland — 13 papers, h 4
  • A. Pentland — 10 papers, h 4
  • A. Pentland — 9 papers, h 13
  • A. Pentland — 9 papers, h 102
  • A. Pentland — 2 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedVerifiable evaluations of machine learning models using zkSNARKs

7 citations · 17 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.IR2023

Don't forget private retrieval: distributed private similarity search for large language models

Guy Zyskind, Tobin South, Alex Pentland

While the flexible capabilities of large language models (LLMs) allow them to answer a range of queries based on existing learned knowledge, information retrieval to augment genera…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.