PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights

Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada, Dan Roth, Vivek Gupta. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). 2025.

Authors

Dan Roth (ORCID: https://orcid.org/0009-0002-1447-5173)
Vivek Gupta (ORCID: https://orcid.org/0000-0003-4129-6648)
Prerana Khatiwada
Srija Mukhopadhyay
Adnan Qidwai

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.18653/v1/2025.acl-demo.62
Primary Topic: Natural Language Processing Techniques
Type: article
Field-Weighted Citation Impact: 0.00

Funders

University of Pennsylvania
Office of Naval Research
Army Research Office

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article

PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights

Dan Roth, Vivek Gupta, Prerana Khatiwada, Srija Mukhopadhyay et al.

Jan 1, 2025

Natural Language Processing Techniques

article

PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights

Dan Roth, Vivek Gupta, Prerana Khatiwada, Srija Mukhopadhyay, Adnan Qidwai

January 1, 2025article en

Abstract

University of Pennsylvania, Office of Naval Research, Army Research Office

Openalex Percentile: Top 90%

Natural Language Processing Techniques

DOI Open Access PDF OpenAlex

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PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights — Dan Roth, Vivek Gupta, et al. · (2025) | TGRS Research Map | TGRS