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M. Stein

4 papers hereh-index 5102 citations8 works total

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

author position
  • sole author1
  • first author1
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CY3
  • cs.AI1
same name
  • M. Stein — 39 papers
  • M. Stein — 13 papers, h 47
  • M. Stein — 13 papers
  • M. Stein — 12 papers, h 19
  • M. Stein — 12 papers, h 70
  • M. Stein — 11 papers

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
20242026
most citedThe Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CY2026

How are AI agents used? Evidence from 177,000 MCP tools

Merlin Stein

Today's AI agents are built on large language models (LLMs) equipped with tools to access and modify external environments, such as corporate file systems, API-accessible platforms…

cs.AI2025★ 1 cited

Measuring AI agent autonomy: Towards a scalable approach with code inspection

Peter Cihon, Merlin Stein, Gagan Bansal +2

AI agents are AI systems that can achieve complex goals autonomously. Assessing the level of agent autonomy is crucial for understanding both their potential benefits and risks. Cu…

cs.CY2024★ 3 cited

The Role of Governments in Increasing Interconnected Post-Deployment Monitoring of AI

Merlin Stein, Jamie Bernardi, Connor Dunlop

Language-based AI systems are diffusing into society, bringing positive and negative impacts. Mitigating negative impacts depends on accurate impact assessments, drawn from an empi…

cs.CY2024

Monitoring Human Dependence On AI Systems With Reliance Drills

Rosco Hunter, Richard Moulange, Jamie Bernardi +1

AI systems are assisting humans with increasingly diverse intellectual tasks but are still prone to mistakes. Humans are over-reliant on this assistance if they trust AI-generated…

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