Papers with HuLM

1 papers
Human Language Modeling (2022.findings-acl)

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Challenge: Existing language modeling models treat text sequences as if they were created independently.
Approach: They propose a hierarchical extension to the language modeling problem whereby a human-level exists to connect sequences of documents and capture the notion that human language is moderated by changing human states.
Outcome: The proposed model outperforms the current state-of-the-art in terms of language modeling and fine-tuning for 4 downstream tasks spanning document- and user-levels.

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