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Beyond the Numbers: Transparency in Relation Extraction Benchmark
  Creation and Leaderboards

Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards

7 November 2024
Varvara Arzt
Allan Hanbury
ArXiv (abs)PDFHTML

Papers citing "Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards"

2 / 2 papers shown
Title
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation
Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation
Maria Eriksson
Erasmo Purificato
Arman Noroozian
Joao Vinagre
Guillaume Chaslot
Emilia Gomez
David Fernandez-Llorca
ELM
321
7
0
10 Feb 2025
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Adam Gould
Pere-Lluis Huguet-Cabot
S. Dadhania
Francesca Toni
191
9
0
31 Jul 2024
1