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Found 3 papers, 1 papers with code
Leveraging recent advances in Pre-Trained Language Models forEye-Tracking Prediction
Cognitively inspired Natural Language Pro-cessing uses human-derived behavioral datalike eye-tracking data, which reflect the seman-tic representations of language in the humanbrain to augment the neural nets to solve arange of tasks spanning syntax and semanticswith the aim of teaching machines about lan-guage processing mechanisms.
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning
In recent years, there have been great advances in the field of decentralized learning with private data.
Improving Question Answering with Generation of NQ-like Questions
We demonstrate that in a low resource setting, using the generated data improves the QA performance over the baseline system on both NQ and QB data.
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