Jordan Juravsky

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Large Language Monkeys: Scaling Inference Compute with Repeated Sampling”.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

arXiv (Cornell University)(2024)10.48550/arxiv.2407.21787

N/A

0DataRank · unranked

12 citations

Jordan Juravsky, Ryan Ehrlich, Ronald Clark, Quoc V. Le, Christopher Ré +2 more

Hydragen: High-Throughput LLM Inference with Shared Prefixes

arXiv (Cornell University)(2024)10.48550/arxiv.2402.05099

N/A

0DataRank · unranked

1 citations

Bradley Brown, Ryan Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini +1 more

CodeMonkeys: Scaling Test-Time Compute for Software Engineering

arXiv (Cornell University)(2025)10.48550/arxiv.2501.14723

N/A

0DataRank · unranked

0 citations

Bradley Brown, Jordan Juravsky, Ronald Clark, Christopher Ré, Azalia Mirhoseini +1 more