Search Results for author: Aman Madaan

Found 16 papers, 9 papers with code

Think about it! Improving defeasible reasoning by first modeling the question scenario.

1 code implementation EMNLP 2021 Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard Hovy

Defeasible reasoning is the mode of reasoning where conclusions can be overturned by taking into account new evidence.

Memory-assisted prompt editing to improve GPT-3 after deployment

1 code implementation16 Jan 2022 Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang

Large LMs such as GPT-3 are powerful, but can commit mistakes that are obvious to humans.

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

1 code implementation16 Dec 2021 Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang

Our goal is for an LM to continue to improve after deployment, without retraining, using feedback from the user.

Structured Prediction

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

1 code implementation15 Dec 2021 Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang

We present a new dataset, Interscript, containing user feedback on a deployed model that generates complex everyday tasks.

Structured Prediction

Think about it! Improving defeasible reasoning by first modeling the question scenario

1 code implementation24 Oct 2021 Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard Hovy

Defeasible reasoning is the mode of reasoning where conclusions can be overturned by taking into account new evidence.

Improving Neural Model Performance through Natural Language Feedback on Their Explanations

no code implementations18 Apr 2021 Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Ed Hovy

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 contain errors?

Neural Language Modeling for Contextualized Temporal Graph Generation

1 code implementation NAACL 2021 Aman Madaan, Yiming Yang

We address this challenge by using existing IE/NLP tools to automatically generate a large quantity (89, 000) of system-produced document-graph pairs, and propose a novel formulation of the contextualized graph generation problem as a sequence-to-sequence mapping task.

Graph Generation Language Modelling

Politeness Transfer: A Tag and Generate Approach

1 code implementation ACL 2020 Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. black, Shrimai Prabhumoye

This paper introduces a new task of politeness transfer which involves converting non-polite sentences to polite sentences while preserving the meaning.

Style Transfer TAG

Practical Comparable Data Collection for Low-Resource Languages via Images

1 code implementation24 Apr 2020 Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig

We propose a method of curating high-quality comparable training data for low-resource languages with monolingual annotators.

Machine Translation Translation

Occurrence Statistics of Entities, Relations and Types on the Web

no code implementations14 May 2016 Aman Madaan, Sunita Sarawagi

This is owing to the severe mismatch in the distributions of such entities on the web and in the relatively diminutive training data.

Entity Disambiguation

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