Ben Bogin | DeepAI

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∙ 04/25/2023

Answering Questions by Meta-Reasoning over Multiple Chains of Thought

Modern systems for multi-hop question answering (QA) typically break que...

5 Ori Yoran, et al. ∙

∙ 12/13/2022

Diverse Demonstrations Improve In-context Compositional Generalization

In-context learning has shown great success in i.i.d semantic parsing sp...

0 Itay Levy, et al. ∙

∙ 11/01/2022

Training Vision-Language Models with Less Bimodal Supervision

Standard practice in pretraining multimodal models, such as vision-langu...

0 Elad Segal, et al. ∙

∙ 01/15/2022

Unobserved Local Structures Make Compositional Generalization Hard

While recent work has convincingly showed that sequence-to-sequence mode...

3 Ben Bogin, et al. ∙

∙ 09/22/2021

COVR: A test-bed for Visually Grounded Compositional Generalization with real images

While interest in models that generalize at test time to new composition...

1 Ben Bogin, et al. ∙

∙ 06/09/2021

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

Most available semantic parsing datasets, comprising of pairs of natural...

0 Moshe Hazoom, et al. ∙

∙ 10/12/2020

MedICaT: A Dataset of Medical Images, Captions, and Textual References

Understanding the relationship between figures and text is key to scient...

18 Sanjay Subramanian, et al. ∙

∙ 07/01/2020

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering

Answering questions that involve multi-step reasoning requires decomposi...

7 Ben Bogin, et al. ∙

∙ 05/02/2020

Obtaining Faithful Interpretations from Compositional Neural Networks

Neural module networks (NMNs) are a popular approach for modeling compos...

22 Sanjay Subramanian, et al. ∙

∙ 04/06/2020

Evaluating NLP Models via Contrast Sets

Standard test sets for supervised learning evaluate in-distribution gene...

0 Matt Gardner, et al. ∙

∙ 08/29/2019

Global Reasoning over Database Structures for Text-to-SQL Parsing

State-of-the-art semantic parsers rely on auto-regressive decoding, emit...

0 Ben Bogin, et al. ∙

∙ 05/30/2019

Grammar-based Neural Text-to-SQL Generation

The sequence-to-sequence paradigm employed by neural text-to-SQL models ...

0 Kevin Lin, et al. ∙

∙ 05/15/2019

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing

Research on parsing language to SQL has largely ignored the structure of...

0 Ben Bogin, et al. ∙

∙ 09/03/2018

Emergence of Communication in an Interactive World with Consistent Speakers

Training agents to communicate with one another given task-based supervi...

0 Ben Bogin, et al. ∙

∙ 06/05/2017

Language Generation with Recurrent Generative Adversarial Networks without Pre-training

Generative Adversarial Networks (GANs) have shown great promise recently...

0 Ofir Press, et al. ∙

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