Arun Tejasvi Chaganty | DeepAI

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∙ 03/13/2023

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset

Users in consumption domains, like music, are often able to more efficie...

0 Arun Tejasvi Chaganty, et al. ∙

∙ 01/27/2023

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models

Conversational recommendation systems (CRSs) enable users to use natural...

0 Megan Leszczynski, et al. ∙

∙ 10/17/2022

RARR: Researching and Revising What Language Models Say, Using Language Models

Language models (LMs) now excel at many tasks such as few-shot learning,...

0 Luyu Gao, et al. ∙

∙ 05/18/2022

Dialog Inpainting: Turning Documents into Dialogs

Many important questions (e.g. "How to eat healthier?") require conversa...

0 Zhuyun Dai, et al. ∙

∙ 10/09/2020

Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings

Pretrained (language) embeddings are versatile, task-agnostic feature re...

0 Justin Dieter, et al. ∙

∙ 09/07/2018

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts

To understand a sentence like "whereas only 10 below the poverty line, 2...

0 Matthew Lamm, et al. ∙

∙ 07/06/2018

The price of debiasing automatic metrics in natural language evaluation

For evaluating generation systems, automatic metrics such as BLEU cost n...

0 Arun Tejasvi Chaganty, et al. ∙

∙ 09/01/2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions

How much is 131 million US dollars? To help readers put such numbers in ...

0 Arun Tejasvi Chaganty, et al. ∙

∙ 03/28/2016

Estimating Mixture Models via Mixtures of Polynomials

Mixture modeling is a general technique for making any simple model more...

0 Sida I. Wang, et al. ∙

∙ 01/29/2015

Tensor Factorization via Matrix Factorization

Tensor factorization arises in many machine learning applications, such ...

0 Volodymyr Kuleshov, et al. ∙

∙ 06/17/2013

Spectral Experts for Estimating Mixtures of Linear Regressions

Discriminative latent-variable models are typically learned using EM or ...

0 Arun Tejasvi Chaganty, et al. ∙

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