activity
20192023
most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 111 across the 13 of their papers we have counts for

collaborators

13 papers

cs.HC2023★ 7 cited

"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education

Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna +7

The rise in popularity of Large Language Models (LLMs) has prompted discussions in academic circles, with students exploring LLM-based tools for coursework inquiries and instructor…

cs.CL2023

CoEdIT: Text Editing by Task-Specific Instruction Tuning

Vipul Raheja, Dhruv Kumar, Ryan Koo +1

We introduce CoEdIT, a state-of-the-art text editing system for writing assistance. CoEdIT takes instructions from the user specifying the attributes of the desired text, such as "…

cs.HC2023★ 7 cited

ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions

Ishika Joshi, Ritvik Budhiraja, Harshal Dev +5

ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, questio…

cs.CL2022

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks

Zae Myung Kim, Wanyu Du, Vipul Raheja +2

Iterative text revision improves text quality by fixing grammatical errors, rephrasing for better readability or contextual appropriateness, or reorganizing sentence structures thr…

cs.CL2022★ 22 cited

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

Wanyu Du, Zae Myung Kim, Vipul Raheja +2

Revision is an essential part of the human writing process. It tends to be strategic, adaptive, and, more importantly, iterative in nature. Despite the success of large language mo…

cs.CL2022

GRS: Combining Generation and Revision in Unsupervised Sentence Simplification

Mohammad Dehghan, Dhruv Kumar, Lukasz Golab

We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision. We start with an iterative framework in which an input sentence…