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BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal
  and Masked Language Models

BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models

5 April 2024
Hongyu Lin
Alexis Conneau
Alan Akbik
ArXiv (abs)PDFHTML

Papers citing "BEAR: A Unified Framework for Evaluating Relational Knowledge in Causal and Masked Language Models"

4 / 4 papers shown
Title
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
Daniel Christoph
Max Ploner
Patrick Haller
Alan Akbik
KELM
7
0
0
20 Jun 2025
The quasi-semantic competence of LLMs: a case study on the part-whole relation
The quasi-semantic competence of LLMs: a case study on the part-whole relation
Mattia Proietti
Alessandro Lenci
74
0
0
03 Apr 2025
BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language
  Models
BabyHGRN: Exploring RNNs for Sample-Efficient Training of Language Models
Patrick Haller
Jonas Golde
Alan Akbik
127
0
0
20 Dec 2024
LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of
  Relational Knowledge in Language Models
LM-PUB-QUIZ: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models
Max Ploner
Jacek Wiland
Sebastian Pohl
Alan Akbik
KELM
68
2
0
28 Aug 2024
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