activity
20152023
most citedSelf-Refine: Iterative Refinement with Self-Feedback

221 citations · 461 across the 29 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.AI2021★ 3 cited

Interscript: A dataset for interactive learning of scripts through error feedback

Niket Tandon, Aman Madaan, Peter Clark +2

How can an end-user provide feedback if a deployed structured prediction model generates inconsistent output, ignoring the structural complexity of human language? This is an emerg…

cs.CL2021

Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback

Niket Tandon, Aman Madaan, Peter Clark +1

Large language models (LMs), while powerful, are not immune to mistakes, but can be difficult to retrain. Our goal is for an LM to continue to improve after deployment, without ret…

cs.AI2021

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021★ 8 cited

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models

Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras +3

Scripts - standardized event sequences describing typical everyday activities - have been shown to help understand narratives by providing expectations, resolving ambiguity, and fi…

cs.CL2021★ 1 cited

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…