Papers by Prerana Khatiwada
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries (2025.naacl-long)
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| Challenge: | Vision-language models excel at tasks requiring joint understanding of visual information and natural language. |
| Approach: | They propose to use choropleth maps to answer questions from three geographical regions in the United States, India, China as question templates. |
| Outcome: | The proposed model outperforms other models in the area of visual language and visual question answering. |
PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights (2025.acl-demo)
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| Challenge: | Accurate and complete product descriptions are laborious to sift through manually. |
| Approach: | They propose a system that uses Large Language Models to extract, compare, and structure insights from customer reviews and seller descriptions. |
| Outcome: | The proposed system can extract, compare, and structure insights from customer reviews and seller descriptions. |