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Found 4 papers, 1 papers with code
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning
A shift in data distribution can have a significant impact on performance of a text classification model.
Realistic Evaluation of Toxicity in Large Language Models
Large language models (LLMs) have become integral to our professional workflows and daily lives.
From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
In addition, we go from the hypothesis that a user's preference at a time is a combination of long-term and short-term interests.
Bag of biterms modeling for short texts
Furthermore, many applications often face with massive and dynamic short texts, causing various computational challenges to the current batch learning algorithms.
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