Search Results for author: Dhruv Kumar

Found 10 papers, 7 papers with code

Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision

1 code implementation In2Writing (ACL) 2022 Wanyu Du, Zae Myung Kim, Vipul Raheja, Dhruv Kumar, Dongyeop Kang

Examining and evaluating the capability of large language models for making continuous revisions and collaborating with human writers is a critical step towards building effective writing assistants.

GRS: Combining Generation and Revision in Unsupervised Sentence Simplification

1 code implementation Findings (ACL) 2022 Mohammad Dehghan, Dhruv Kumar, Lukasz Golab

We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision.

Text Generation

LyricJam: A system for generating lyrics for live instrumental music

no code implementations3 Jun 2021 Olga Vechtomova, Gaurav Sahu, Dhruv Kumar

We describe a real-time system that receives a live audio stream from a jam session and generates lyric lines that are congruent with the live music being played.

Optimizing Deeper Transformers on Small Datasets

1 code implementation ACL 2021 Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J. D. Prince, Yanshuai Cao

This work shows that this does not always need to be the case: with proper initialization and optimization, the benefits of very deep transformers can carry over to challenging tasks with small datasets, including Text-to-SQL semantic parsing and logical reading comprehension.

Reading Comprehension Semantic Parsing +2

Consentio: Managing Consent to Data Access using Permissioned Blockchains

1 code implementation16 Oct 2019 Rishav Raj Agarwal, Dhruv Kumar, Lukasz Golab, Srinivasan Keshav

The data management challenge we address is to ensure high throughput and low latency of endorsing data access requests and granting or revoking consent.

Distributed, Parallel, and Cluster Computing

Online abuse detection: the value of preprocessing and neural attention models

1 code implementation WS 2019 Dhruv Kumar, Robin Cohen, Lukasz Golab

We propose an attention-based neural network approach to detect abusive speech in online social networks.

Abuse Detection

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