Sean Welleck

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NYU college

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral

The spectacular success of deep generative models calls for quantitative...
06/15/2021 ∙ by Lang Liu, et al. ∙ 0 ∙ share

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Mode recovery in neural autoregressive sequence modeling

Despite its wide use, recent studies have revealed unexpected and undesi...
06/10/2021 ∙ by Ilia Kulikov, et al. ∙ 5 ∙ share

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NaturalProofs: Mathematical Theorem Proving in Natural Language

Understanding and creating mathematics using natural mathematical langua...
03/24/2021 ∙ by Sean Welleck, et al. ∙ 0 ∙ share

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MLE-guided parameter search for task loss minimization in neural sequence modeling

Neural autoregressive sequence models are used to generate sequences in ...
06/04/2020 ∙ by Sean Welleck, et al. ∙ 15 ∙ share

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Consistency of a Recurrent Language Model With Respect to Incomplete Decoding

Despite strong performance on a variety of tasks, neural sequence models...
02/06/2020 ∙ by Sean Welleck, et al. ∙ 7 ∙ share

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Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training

Generative dialogue models currently suffer from a number of problems wh...
11/10/2019 ∙ by Margaret Li, et al. ∙ 0 ∙ share

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Neural Text Generation with Unlikelihood Training

Neural text generation is a key tool in natural language applications, b...
08/12/2019 ∙ by Sean Welleck, et al. ∙ 2 ∙ share

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Sequential Graph Dependency Parser

We propose a method for non-projective dependency parsing by incremental...
05/27/2019 ∙ by Sean Welleck, et al. ∙ 2 ∙ share

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Non-Monotonic Sequential Text Generation

Standard sequential generation methods assume a pre-specified generation...
02/05/2019 ∙ by Sean Welleck, et al. ∙ 8 ∙ share

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Dialogue Natural Language Inference

Consistency is a long standing issue faced by dialogue models. In this p...
11/01/2018 ∙ by Sean Welleck, et al. ∙ 6 ∙ share

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Loss Functions for Multiset Prediction

We study the problem of multiset prediction. The goal of multiset predic...
11/14/2017 ∙ by Sean Welleck, et al. ∙ 0 ∙ share

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Saliency-based Sequential Image Attention with Multiset Prediction

Humans process visual scenes selectively and sequentially using attentio...
11/14/2017 ∙ by Sean Welleck, et al. ∙ 0 ∙ share

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Sean Welleck

Featured Co-authors

Kyunghyun Cho

Zheng Zhang

Yejin Choi

Jason Weston

Hannaneh Hajishirzi

Arthur Szlam

Sewoong Oh

Hal Daumé III

Zaid Harchaoui

Ronan Le Bras

Emily Dinan

Divergence Frontiers for Generative Models: Sample Complexity, Quantization Level, and Frontier Integral

Mode recovery in neural autoregressive sequence modeling

NaturalProofs: Mathematical Theorem Proving in Natural Language

MLE-guided parameter search for task loss minimization in neural sequence modeling

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training

Neural Text Generation with Unlikelihood Training

Sequential Graph Dependency Parser

Non-Monotonic Sequential Text Generation

Dialogue Natural Language Inference

Loss Functions for Multiset Prediction

Saliency-based Sequential Image Attention with Multiset Prediction