Search Results for author:
Found 6 papers, 1 papers with code
IterAlign: Iterative Constitutional Alignment of Large Language Models
Such a constitution discovery pipeline can be run iteratively and automatically to discover new constitutions that specifically target the alignment gaps in the current LLM.
Hierarchical Query Classification in E-commerce Search
E-commerce platforms typically store and structure product information and search data in a hierarchy.
Situated Natural Language Explanations
Situated NLE provides a perspective and facilitates further research on the generation and evaluation of explanations.
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation
We explore ways of incorporating bilingual dictionaries to enable semi-supervised neural machine translation.
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing Tasks
Pre-trained word embeddings are the primary method for transfer learning in several Natural Language Processing (NLP) tasks.
A Big Data Analysis Framework Using Apache Spark and Deep Learning
In this paper, we propose a novel framework that combines the distributive computational abilities of Apache Spark and the advanced machine learning architecture of a deep multi-layer perceptron (MLP), using the popular concept of Cascade Learning.
