Prakhar Gupta | DeepAI

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∙ 05/23/2023

USB: A Unified Summarization Benchmark Across Tasks and Domains

An abundance of datasets exist for training and evaluating models on the...

0 Kundan Krishna, et al. ∙

∙ 03/30/2023

Self-Refine: Iterative Refinement with Self-Feedback

Like people, LLMs do not always generate the best text for a given gener...

2 Aman Madaan, et al. ∙

∙ 01/27/2023

Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation

Language models have steadily increased in size over the past few years....

0 Jessica Huynh, et al. ∙

∙ 05/25/2022

Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

Instruction tuning is an emergent paradigm in NLP wherein natural langua...

0 Prakhar Gupta, et al. ∙

∙ 05/19/2022

Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation

Target-guided response generation enables dialogue systems to smoothly t...

5 Prakhar Gupta, et al. ∙

∙ 10/15/2021

DialFact: A Benchmark for Fact-Checking in Dialogue

Fact-checking is an essential tool to mitigate the spread of misinformat...

4 Prakhar Gupta, et al. ∙

∙ 06/10/2021

Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation

Open-domain neural dialogue models have achieved high performance in res...

10 Prakhar Gupta, et al. ∙

∙ 06/08/2021

Obtaining Better Static Word Embeddings Using Contextual Embedding Models

The advent of contextual word embeddings – representations of words whic...

11 Prakhar Gupta, et al. ∙

∙ 05/28/2021

Lightweight Cross-Lingual Sentence Representation Learning

Large-scale models for learning fixed-dimensional cross-lingual sentence...

9 Zhuoyuan Mao, et al. ∙

∙ 08/20/2020

Controlling Dialogue Generation with Semantic Exemplars

Dialogue systems pretrained with large language models generate locally ...

0 Prakhar Gupta, et al. ∙

∙ 08/20/2020

Modeling flexoelectricity in soft dielectrics at finite deformation

This paper develops the equilibrium equations describing the flexoelectr...

0 David Codony, et al. ∙

∙ 03/02/2020

Using Image Captions and Multitask Learning for Recommending Query Reformulations

Interactive search sessions often contain multiple queries, where the us...

0 Gaurav Verma, et al. ∙

∙ 12/28/2019

Robust Cross-lingual Embeddings from Parallel Sentences

Recent advances in cross-lingual word embeddings have primarily relied o...

0 Ali Sabet, et al. ∙

∙ 07/24/2019

Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References

The aim of this paper is to mitigate the shortcomings of automatic evalu...

0 Prakhar Gupta, et al. ∙

∙ 07/18/2019

WriterForcing: Generating more interesting story endings

We study the problem of generating interesting endings for stories. Neur...

1 Prakhar Gupta, et al. ∙

∙ 04/10/2019

Better Word Embeddings by Disentangling Contextual n-Gram Information

Pre-trained word vectors are ubiquitous in Natural Language Processing a...

0 Prakhar Gupta, et al. ∙

∙ 11/01/2018

Online Diverse Learning to Rank from Partial-Click Feedback

Learning to rank is an important problem in machine learning and recomme...

8 Prakhar Gupta, et al. ∙

∙ 02/19/2018

Learning Word Vectors for 157 Languages

Distributed word representations, or word vectors, have recently been ap...

0 Edouard Grave, et al. ∙

∙ 11/10/2017

Saliency Prediction for Mobile User Interfaces

We introduce models for saliency prediction for mobile user interfaces. ...

0 Prakhar Gupta, et al. ∙

∙ 03/07/2017

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

The recent tremendous success of unsupervised word embeddings in a multi...

0 Matteo Pagliardini, et al. ∙

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