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A Better Way to Do Masked Language Model Scoring

A Better Way to Do Masked Language Model Scoring

17 May 2023
Carina Kauf
Anna A. Ivanova
ArXivPDFHTML

Papers citing "A Better Way to Do Masked Language Model Scoring"

12 / 12 papers shown
Title
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on
  Developmentally Plausible Corpora
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Michael Y. Hu
Aaron Mueller
Candace Ross
Adina Williams
Tal Linzen
Chengxu Zhuang
Ryan Cotterell
Leshem Choshen
Alex Warstadt
Ethan Gotlieb Wilcox
91
7
0
06 Dec 2024
BERTs are Generative In-Context Learners
BERTs are Generative In-Context Learners
David Samuel
32
5
0
07 Jun 2024
Gaining More Insight into Neural Semantic Parsing with Challenging
  Benchmarks
Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks
Xiao Zhang
Chunliu Wang
Rik van Noord
Johan Bos
13
3
0
12 Apr 2024
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
Hongyu Lin
Alexis Conneau
Alan Akbik
33
5
0
05 Apr 2024
Robust Pronoun Fidelity with English LLMs: Are they Reasoning,
  Repeating, or Just Biased?
Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
Vagrant Gautam
Eileen Bingert
D. Zhu
Anne Lauscher
Dietrich Klakow
38
8
0
04 Apr 2024
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
Haris Riaz
Razvan-Gabriel Dumitru
Mihai Surdeanu
MU
33
0
0
26 Mar 2024
Predictions from language models for multiple-choice tasks are not
  robust under variation of scoring methods
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods
Polina Tsvilodub
Hening Wang
Sharon Grosch
Michael Franke
20
8
0
01 Mar 2024
Multilingual Nonce Dependency Treebanks: Understanding how Language
  Models represent and process syntactic structure
Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure
David Arps
Laura Kallmeyer
Younes Samih
Hassan Sajjad
16
0
0
13 Nov 2023
Can Language Models Be Tricked by Language Illusions? Easier with
  Syntax, Harder with Semantics
Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics
Yuhan Zhang
Edward Gibson
Forrest Davis
14
6
0
02 Nov 2023
Increasing The Performance of Cognitively Inspired Data-Efficient
  Language Models via Implicit Structure Building
Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure Building
Omar Momen
David Arps
Laura Kallmeyer
AI4CE
11
2
0
31 Oct 2023
Event knowledge in large language models: the gap between the impossible
  and the unlikely
Event knowledge in large language models: the gap between the impossible and the unlikely
Carina Kauf
Anna A. Ivanova
Giulia Rambelli
Emmanuele Chersoni
Jingyuan Selena She
Zawad Chowdhury
Evelina Fedorenko
Alessandro Lenci
22
65
0
02 Dec 2022
Structural Persistence in Language Models: Priming as a Window into
  Abstract Language Representations
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella J. Sinclair
Jaap Jumelet
Willem H. Zuidema
Raquel Fernández
49
37
0
30 Sep 2021
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