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20202026
most citedSuper-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

47 citations · 91 across the 20 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.HC2023★ 1 cited

Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification

Anjana Arunkumar, Lace Padilla, Gi-Yeul Bae +1

How do people internalize visualizations: as images or information? In this study, we investigate the nature of internalization for visualizations (i.e., how the mind encodes visua…

cs.CL2023

The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR

Kaousheik Jayakumar, Vrunda N. Sukhadia, A Arunkumar +1

Building a multilingual Automated Speech Recognition (ASR) system in a linguistically diverse country like India can be a challenging task due to the differences in scripts and the…

cs.HC2023

LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity

Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal +2

Cross-task generalization is a significant outcome that defines mastery in natural language understanding. Humans show a remarkable aptitude for this, and can solve many different…

cs.HC2023★ 21 cited

PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models

Aditi Mishra, Utkarsh Soni, Anjana Arunkumar +3

Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt.…

cs.CL2023

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow

Anjana Arunkumar, Swaroop Mishra, Bhavdeep Sachdeva +2

Recent research has shown that language models exploit `artifacts' in benchmarks to solve tasks, rather than truly learning them, leading to inflated model performance. In pursuit…