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Found 5 papers, 4 papers with code
RULER: What's the Real Context Size of Your Long-Context Language Models?
Despite achieving nearly perfect accuracy in the vanilla NIAH test, all models exhibit large performance drops as the context length increases.
Universal Model in Online Customer Service
Our novel approach involves using machine learning techniques to tag customer questions in transcripts and create a repository of questions and corresponding labels.
Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
In the proposed approach, a few small adapter modules are added to the original network.
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text
To address this, we introduce Multimodal Retrieval on Representation of ImaGe witH Text (Mr.
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
RLPrompt formulates a parameter-efficient policy network that generates the desired discrete prompt after training with reward.
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