Transparency Helps Reveal When Language Models Learn Meaning

14 October 2022

Papers citing "Transparency Helps Reveal When Language Models Learn Meaning"

6 / 6 papers shown

Title
Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases Qing Lyu Hua Zheng Daoxin Li Li Zhang Marianna Apidianaki Chris Callison-Burch 18 4 0 15 Dec 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models Lalchand Pandia Allyson Ettinger 36 37 0 25 Sep 2021
Let's Play Mono-Poly: BERT Can Reveal Words' Polysemy Level and Partitionability into Senses Aina Garí Soler Marianna Apidianaki MILM 201 68 0 29 Apr 2021
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 190 181 0 03 Sep 2019
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 408 2,584 0 03 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 882 0 03 May 2018