81 citations · 135 across the 9 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…