52 citations · 82 across the 8 of their papers we have counts for
12 papers
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan, Amir Yazdanbakhsh
The past decade has witnessed dramatic gains in natural language processing and an unprecedented scaling of large language models. These developments have been accelerated by the a…
Language Models of Code are Few-Shot Commonsense Learners
Aman Madaan, Shuyan Zhou, Uri Alon +2
We address the general task of structured commonsense reasoning: given a natural language input, the goal is to generate a graph such as an event -- or a reasoning-graph. To employ…
Think about it! Improving defeasible reasoning by first modeling the question scenario
Aman Madaan, Niket Tandon, Dheeraj Rajagopal +3
Defeasible reasoning is the mode of reasoning where conclusions can be overturned by taking into account new evidence. Existing cognitive science literature on defeasible reasoning…
Could you give me a hint? Generating inference graphs for defeasible reasoning
Aman Madaan, Dheeraj Rajagopal, Niket Tandon +2
Defeasible reasoning is the mode of reasoning where conclusions can be overturned by taking into account new evidence. A commonly used method in cognitive science and logic literat…
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…