2 citations · 3 across the 3 of their papers we have counts for
4 papers
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
Aman Madaan, Niket Tandon, Dheeraj Rajagopal +4
A class of explainable NLP models for reasoning tasks support their decisions by generating free-form or structured explanations, but what happens when these supporting structures…
CURIE: An Iterative Querying Approach for Reasoning About Situations
Dheeraj Rajagopal, Aman Madaan, Niket Tandon +5
Recently, models have been shown to predict the effects of unexpected situations, e.g., would cloudy skies help or hinder plant growth? Given a context, the goal of such situationa…
Meta Back-translation
Hieu Pham, Xinyi Wang, Yiming Yang +1
Back-translation is an effective strategy to improve the performance of Neural Machine Translation~(NMT) by generating pseudo-parallel data. However, several recent works have foun…
Neural Language Modeling for Contextualized Temporal Graph Generation
Aman Madaan, Yiming Yang
This paper presents the first study on using large-scale pre-trained language models for automated generation of an event-level temporal graph for a document. Despite the huge succ…