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researcher

Kaushiki Nag

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.HC1
  • cs.IR1
ORCID 0009-0008-4859-2937
same name
  • Kaushiki Nag — 16 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedKnowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs

8 citations · 15 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024★ 7 cited

Prompt Optimizer of Text-to-Image Diffusion Models for Abstract Concept Understanding

Zezhong Fan, Xiaohan Li, Chenhao Fang +4

The rapid evolution of text-to-image diffusion models has opened the door of generative AI, enabling the translation of textual descriptions into visually compelling images with re…

cs.HC2024

Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners

Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti +4

Text-to-image models such as stable diffusion have opened a plethora of opportunities for generating art. Recent literature has surveyed the use of text-to-image models for enhanci…

cs.IR2023★ 8 cited

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs

Jiao Chen, Luyi Ma, Xiaohan Li +7

Knowledge Graphs (KGs) play a crucial role in enhancing e-commerce system performance by providing structured information about entities and their relationships, such as complement…

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