81 citations · 135 across the 9 of their papers we have counts for
10 papers
Benchmarking Large Language Model Capabilities for Conditional Generation
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
Pre-trained large language models (PLMs) underlie most new developments in natural language processing. They have shifted the field from application-specific model pipelines to a s…
PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
Fantine Huot, Joshua Maynez, Chris Alberti +5
Cross-lingual summarization consists of generating a summary in one language given an input document in a different language, allowing for the dissemination of relevant content acr…
QAmeleon: Multilingual QA with Only 5 Examples
Priyanka Agrawal, Chris Alberti, Fantine Huot +6
The availability of large, high-quality datasets has been one of the main drivers of recent progress in question answering (QA). Such annotated datasets however are difficult and c…
Curriculum Meta-Learning for Few-shot Classification
Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire
We propose an adaptation of the curriculum training framework, applicable to state-of-the-art meta learning techniques for few-shot classification. Curriculum-based training popula…
OmniNet: A unified architecture for multi-modal multi-task learning
Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Transformer is a popularly used neural network architecture, especially for language understanding. We introduce an extended and unified architecture that can be used for tasks inv…
Unified Semantic Parsing with Weak Supervision
Priyanka Agrawal, Parag Jain, Ayushi Dalmia +3
Semantic parsing over multiple knowledge bases enables a parser to exploit structural similarities of programs across the multiple domains. However, the fundamental challenge lies…
On Controllable Sparse Alternatives to Softmax
Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal +3
Converting an n-dimensional vector to a probability distribution over n objects is a commonly used component in many machine learning tasks like multiclass classification, multilab…
Deep Domain Adaptation under Deep Label Scarcity
Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal +1
The goal behind Domain Adaptation (DA) is to leverage the labeled examples from a source domain so as to infer an accurate model in a target domain where labels are not available o…
Story Generation from Sequence of Independent Short Descriptions
Parag Jain, Priyanka Agrawal, Abhijit Mishra +3
Existing Natural Language Generation (NLG) systems are weak AI systems and exhibit limited capabilities when language generation tasks demand higher levels of creativity, originali…
Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling
Lavanya Sita Tekumalla, Priyanka Agrawal, Indrajit Bhattacharya
Dirichlet Process(DP) is a Bayesian non-parametric prior for infinite mixture modeling, where the number of mixture components grows with the number of data items. The Hierarchical…