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NLP Reproducibility For All: Understanding Experiences of Beginners
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NLP Reproducibility For All: Understanding Experiences of Beginners

Shane Storks
Keunwoo Peter Yu
Ziqiao Ma
Joyce Chai
ArXiv (abs)PDFHTML

Papers citing "NLP Reproducibility For All: Understanding Experiences of Beginners"

2 / 2 papers shown
Title
Landscape Complexity for the Empirical Risk of Generalized Linear Models: Discrimination between Structured Data
Landscape Complexity for the Empirical Risk of Generalized Linear Models: Discrimination between Structured Data
Theodoros G. Tsironis
Aris L. Moustakas
96
2
0
18 Mar 2025
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories
Ben Bogin
Kejuan Yang
Shashank Gupta
Kyle Richardson
Erin Bransom
Peter Clark
Ashish Sabharwal
Tushar Khot
ELMLRM
87
20
0
11 Sep 2024

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