DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval | ScienceToStartup | ScienceToStartup

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References (25)

[1]

DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems

2026Maojun Sun, Yifei Xie et al.

[2]

Improving Text Embedding Models with Positive-aware Hard-negative Mining

2025G. Moreira, Radek Osmulski et al.

[3]

DeepAnalyze: Agentic Large Language Models for Autonomous Data Science

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"Develop a plug-and-play R package retrieval tool for improving LLM automation in statistical data analysis."

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DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

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References (25)

Founder's Pitch

"Develop a plug-and-play R package retrieval tool for improving LLM automation in statistical data analysis."

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DARE: Aligning LLM Agents with the R Statistical Ecosystem via Distribution-Aware Retrieval

BUILDER'S SANDBOX

Build This Paper

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Startup Essentials

References (25)

Founder's Pitch

"Develop a plug-and-play R package retrieval tool for improving LLM automation in statistical data analysis."

Commercial Viability Breakdown

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