In-context learning (ICL) operates by showing language models (LMs) exam...
In the context of multi-step reasoning, language models (LMs) probabilit...
Recent progress in large language models has enabled the deployment of m...
Energy-based models (EBMs) have gained popularity for controlled text
ge...
Summarizing novel chapters is a difficult task due to the input length a...
We investigate semi-structured document classification in a zero-shot
se...
We study unsupervised multi-hop reranking for multi-hop QA (MQA) with
op...
Dialogue summarization comes with its own peculiar challenges as opposed...
A reasonable amount of annotated data is required for fine-tuning pre-tr...
A sufficient amount of annotated data is usually required to fine-tune
p...
We propose a Distributional Approach to address Controlled Text Generati...
We present our progress in developing a novel algorithm to extract synon...
Predicting the potential success of a book in advance is vital in many
a...
With the recent explosion in the size and complexity of source codebases...