1 citations · 1 across the 2 of their papers we have counts for
3 papers
Playing with Words, Improving with Rewards: Training Language Models for Creative Association
Vijeta Deshpande, Namrata Shivagunde, Sherin Muckatira +5
Large Language Models (LLMs) are being applied to increasingly difficult problems and use cases. To navigate their vast solution spaces effectively, LLMs need to be creative. Yet t…
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
Manoj Kumar, Varun Kumar, Hadrien Glaude +3
Practical sequence classification tasks in natural language processing often suffer from low training data availability for target classes. Recent works towards mitigating this pro…
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar, Hadrien Glaude, Cyprien de Lichy +1
New conversation topics and functionalities are constantly being added to conversational AI agents like Amazon Alexa and Apple Siri. As data collection and annotation is not scalab…