12 citations · 24 across the 9 of their papers we have counts for
9 papers · 1 filter
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini +3
Transformer encoders contextualize token representations by attending to all other tokens at each layer, leading to quadratic increase in compute effort with the input length. In p…
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
Fantine Huot, Joshua Maynez, Shashi Narayan +6
While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelev…
OpineSum: Entailment-based self-training for abstractive opinion summarization
Annie Louis, Joshua Maynez
A typical product or place often has hundreds of reviews, and summarization of these texts is an important and challenging problem. Recent progress on abstractive summarization in…
Resolving Indirect Referring Expressions for Entity Selection
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti +1
Recent advances in language modeling have enabled new conversational systems. In particular, it is often desirable for people to make choices among specified options when using suc…
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis +2
Previous work has demonstrated the effectiveness of planning for story generation exclusively in a monolingual setting focusing primarily on English. We consider whether planning b…
Conditional Generation with a Question-Answering Blueprint
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo +6
The ability to convey relevant and faithful information is critical for many tasks in conditional generation and yet remains elusive for neural seq-to-seq models whose outputs ofte…
"I'd rather just go to bed": Understanding Indirect Answers
Annie Louis, Dan Roth, Filip Radlinski
We revisit a pragmatic inference problem in dialog: understanding indirect responses to questions. Humans can interpret 'I'm starving.' in response to 'Hungry?', even without direc…
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung +1
Sentence position is a strong feature for news summarization, since the lead often (but not always) summarizes the key points of the article. In this paper, we show that recent neu…
What comes next? Extractive summarization by next-sentence prediction
Jingyun Liu, Jackie C. K. Cheung, Annie Louis
Existing approaches to automatic summarization assume that a length limit for the summary is given, and view content selection as an optimization problem to maximize informativenes…