Language Understanding Tasks

task ID: languageunderstandingtasks

Related Papers

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIntermediate-task training—fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task—often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate …...

386

Unsupervised Fine-tuning for Text Clustering

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractFine-tuning with pre-trained language models (e.g. BERT) has achieved great success in many language understanding tasks in supervised settings (e.g. text classification). However, relatively little work has been focused on …...

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Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAlthough pretrained language models can be fine-tuned to produce state-of-the-art results for a very wide range of language understanding tasks, the dynamics of this process are not well understood, especially …...

7969

Word Order Does Matter and Shuffled Language Models Know It

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecent studies have shown that language models pretrained and/or fine-tuned on randomly permuted sentences exhibit competitive performance on GLUE, putting into question the importance of word order information. Somewhat counter-intuitively, …...

38906