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Found 7 papers, 3 papers with code
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
We introduce Adapters, an open-source library that unifies parameter-efficient and modular transfer learning in large language models.
Exploring Jiu-Jitsu Argumentation for Writing Peer Review Rebuttals
In this work, we are the first to explore Jiu-Jitsu argumentation for peer review by proposing the novel task of attitude and theme-guided rebuttal generation.
Romanization-based Large-scale Adaptation of Multilingual Language Models
In order to boost the capacity of mPLMs to deal with low-resource and unseen languages, we explore the potential of leveraging transliteration on a massive scale.
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
However, the newer intents may not be explicitly announced and need to be inferred dynamically.
Knowledge Graph Question Answering via SPARQL Silhouette Generation
Experimental results show that the quality of generated SPARQL silhouette in the first stage is outstanding for the ideal scenarios but for realistic scenarios (i. e. noisy linker), the quality of the resulting SPARQL silhouette drops drastically.
Medical Entity Linking using Triplet Network
Entity linking (or Normalization) is an essential task in text mining that maps the entity mentions in the medical text to standard entities in a given Knowledge Base (KB).
A Variant of Gradient Descent Algorithm Based on Gradient Averaging
In regression tasks, it is observed that the behaviour of Grad-Avg is almost identical with Stochastic Gradient Descent (SGD).
