Agent Benchmarks Fail Public Sector Requirements | ScienceToStartup | ScienceToStartup

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References (94)

[1]

Measuring what Matters: Construct Validity in Large Language Model Benchmarks

2025Andrew M. Bean, R. Kearns et al.

[2]

Anchoring Institutional Values in Democracy: A Systematic Review, a Constructive Critique, and a Research Agenda

2025Anthony M. Bertelli, S. Cannas et al.

[3]

Artificial Intelligence in Qualitative Research: Beyond Outsourcing Data Analysis to the Machine

Founder's Pitch

"Develop public sector-specific benchmarks for evaluating LLM agents against legal and procedural requirements."

Benchmarking•Score: 2•View PDF ↗

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0-10 scale

High Potential

1/4 signals

2.5

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0/4 signals

Series A Potential

1/4 signals

2.5

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Why It Matters

This research addresses critical challenges in its domain, enabling more effective and intelligent applications.

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Disruption

This approach could reduce reliance on expensive manual processes and replace less efficient generalized solutions.

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Agent Benchmarks Fail Public Sector Requirements

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References (94)

Founder's Pitch

"Develop public sector-specific benchmarks for evaluating LLM agents against legal and procedural requirements."

Commercial Viability Breakdown

🔭 Research Neighborhood

Why It Matters

Product Angle

Disruption

Product Opportunity

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Agent Benchmarks Fail Public Sector Requirements

BUILDER'S SANDBOX

Build This Paper

Recommended Stack

Startup Essentials

References (94)

Founder's Pitch

"Develop public sector-specific benchmarks for evaluating LLM agents against legal and procedural requirements."

Commercial Viability Breakdown

Related Papers

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